{"id":1041,"date":"2020-11-17T11:38:22","date_gmt":"2020-11-17T11:38:22","guid":{"rendered":"https:\/\/wordpress.peters-research.com\/?page_id=1041"},"modified":"2020-11-17T11:50:29","modified_gmt":"2020-11-17T11:50:29","slug":"measuring-and-simulating-elevator-passengers-in-buildings","status":"publish","type":"page","link":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/","title":{"rendered":"Measuring and Simulating Elevator Passengers in Buildings"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1041\" class=\"elementor elementor-1041\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-2bd44fca elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"40084\" data-id=\"2bd44fca\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-691f4c74\" data-eae-slider=\"71211\" data-id=\"691f4c74\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1907e04f elementor-widget elementor-widget-text-editor\" data-id=\"1907e04f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"457\" class=\"elementor elementor-457\">\n\t\t\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-inner-section elementor-element elementor-element-18f9bc28 elementor-section-full_width elementor-section-content-middle elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"16505\" data-id=\"18f9bc28\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-3e31ad68\" data-eae-slider=\"10199\" data-id=\"3e31ad68\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-72297194 elementor-widget elementor-widget-image\" data-id=\"72297194\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\/index.php\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/wp-content\/uploads\/elementor\/thumbs\/grey-back-or3ftrbi74b1izha3jb4hu9squmw6mk92kpjh3js9i.png\" title=\"grey back\" alt=\"grey back\" class=\"elementor-animation-grow\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-3d4ddb8c\" data-eae-slider=\"51967\" data-id=\"3d4ddb8c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6f55fd7f elementor-widget elementor-widget-spacer\" data-id=\"6f55fd7f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-161f74d elementor-hidden-desktop elementor-hidden-tablet hfe-menu-item-space-between hfe-submenu-icon-arrow hfe-link-redirect-child elementor-widget elementor-widget-navigation-menu\" data-id=\"161f74d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;hamburger_align&quot;:&quot;center&quot;,&quot;hamburger_menu_align&quot;:&quot;space-between&quot;,&quot;width_flyout_menu_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:300,&quot;sizes&quot;:[]},&quot;width_flyout_menu_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;width_flyout_menu_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_flyout_menu_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:30,&quot;sizes&quot;:[]},&quot;padding_flyout_menu_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_flyout_menu_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_horizontal_menu_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:15,&quot;sizes&quot;:[]},&quot;padding_horizontal_menu_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_horizontal_menu_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_vertical_menu_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:15,&quot;sizes&quot;:[]},&quot;padding_vertical_menu_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_vertical_menu_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_space_between&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_space_between_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_space_between_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_top_space&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_top_space_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;menu_top_space_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;dropdown_border_radius&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;dropdown_border_radius_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;dropdown_border_radius_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;top&quot;:&quot;&quot;,&quot;right&quot;:&quot;&quot;,&quot;bottom&quot;:&quot;&quot;,&quot;left&quot;:&quot;&quot;,&quot;isLinked&quot;:true},&quot;padding_horizontal_dropdown_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_horizontal_dropdown_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_horizontal_dropdown_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_vertical_dropdown_item&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:15,&quot;sizes&quot;:[]},&quot;padding_vertical_dropdown_item_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;padding_vertical_dropdown_item_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_size&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_size_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_size_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_width&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_width_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_width_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_radius&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_radius_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;toggle_border_radius_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;close_flyout_size&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;close_flyout_size_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;close_flyout_size_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"navigation-menu.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"hfe-nav-menu__toggle elementor-clickable hfe-flyout-trigger\" tabindex=\"0\" role=\"button\" aria-label=\"Menu Toggle\">\n\t\t\t\t\t<div class=\"hfe-nav-menu-icon\">\n\t\t\t\t\t\t<i aria-hidden=\"true\" tabindex=\"0\" class=\"fas fa-align-justify\"><\/i>\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<div class=\"hfe-flyout-wrapper\" >\n\t\t\t\t<div class=\"hfe-flyout-overlay elementor-clickable\"><\/div>\n\t\t\t\t<div class=\"hfe-flyout-container\">\n\t\t\t\t\t<div id=\"hfe-flyout-content-id-161f74d\" class=\"hfe-side hfe-flyout-left hfe-flyout-open\" data-layout=\"left\" data-flyout-type=\"normal\">\n\t\t\t\t\t\t<div class=\"hfe-flyout-content push\">\n\t\t\t\t\t\t\t<nav >\n\t\t\t\t\t\t\t\t<ul id=\"menu-1-161f74d\" class=\"hfe-nav-menu\"><li id=\"menu-item-39\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-home parent hfe-creative-menu\"><a href=\"https:\/\/wordpress.peters-research.com\/\" class = \"hfe-menu-item\">Home<\/a><\/li>\n<li id=\"menu-item-697\" class=\"menu-item menu-item-type-post_type menu-item-object-page parent hfe-creative-menu\"><a href=\"https:\/\/wordpress.peters-research.com\/index.php\/products-services\/\" class = \"hfe-menu-item\">Products and Services<\/a><\/li>\n<li id=\"menu-item-698\" class=\"menu-item menu-item-type-post_type menu-item-object-page parent hfe-creative-menu\"><a href=\"https:\/\/wordpress.peters-research.com\/index.php\/training-support\/\" class = \"hfe-menu-item\">Training and Support<\/a><\/li>\n<li id=\"menu-item-696\" class=\"menu-item menu-item-type-post_type menu-item-object-page parent hfe-creative-menu\"><a href=\"https:\/\/wordpress.peters-research.com\/index.php\/download\/\" class = \"hfe-menu-item\">Download<\/a><\/li>\n<li id=\"menu-item-699\" class=\"menu-item menu-item-type-post_type menu-item-object-page parent hfe-creative-menu\"><a href=\"https:\/\/wordpress.peters-research.com\/index.php\/team\/\" class = \"hfe-menu-item\">About us<\/a><\/li>\n<li id=\"menu-item-700\" class=\"menu-item menu-item-type-custom menu-item-object-custom parent hfe-creative-menu\"><a href=\"https:\/\/store.peters-research.com\/\" class = \"hfe-menu-item\">Store<\/a><\/li>\n<\/ul>\t\t\t\t\t\t\t<\/nav>\n\t\t\t\t\t\t\t<div class=\"elementor-clickable hfe-flyout-close\" tabindex=\"0\">\n\t\t\t\t\t\t\t\t<i aria-hidden=\"true\" tabindex=\"0\" class=\"far fa-window-close\"><\/i>\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-2e467c1\" data-eae-slider=\"79922\" data-id=\"2e467c1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56f0c74 elementor-align-center animated-fast elementor-hidden-phone elementor-invisible elementor-widget elementor-widget-button\" data-id=\"56f0c74\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl elementor-animation-grow\" href=\"\/index.php\/products-services\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Products &amp; Services\u200b<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-ee5d266\" data-eae-slider=\"67012\" data-id=\"ee5d266\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7dc6c8fc elementor-align-center animated-fast elementor-hidden-phone elementor-invisible elementor-widget elementor-widget-button\" data-id=\"7dc6c8fc\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl elementor-animation-grow\" href=\"\/index.php\/training-support\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Training &amp; Support\u200b<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-4df95089\" data-eae-slider=\"27502\" data-id=\"4df95089\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-22f993ce elementor-align-center animated-fast elementor-hidden-phone elementor-invisible elementor-widget elementor-widget-button\" data-id=\"22f993ce\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl elementor-animation-grow\" href=\"\/index.php\/download\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download\u200b<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-787805\" data-eae-slider=\"71612\" data-id=\"787805\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6b4aaf05 elementor-align-center animated-fast elementor-hidden-phone elementor-invisible elementor-widget elementor-widget-button\" data-id=\"6b4aaf05\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl elementor-animation-grow\" href=\"\/index.php\/team\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">About Us<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-14 elementor-inner-column elementor-element elementor-element-16d52443\" data-eae-slider=\"11386\" data-id=\"16d52443\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-31529b70 elementor-align-center animated-fast elementor-hidden-phone elementor-invisible elementor-widget elementor-widget-button\" data-id=\"31529b70\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;,&quot;_animation_delay&quot;:0}\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-xl elementor-animation-grow\" href=\"https:\/\/store.peters-research.com\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Store\u200b<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_eae_slider elementor-section elementor-top-section elementor-element elementor-element-45d24470 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-eae-slider=\"83303\" data-id=\"45d24470\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"has_eae_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-48487994\" data-eae-slider=\"78198\" data-id=\"48487994\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-624c56e elementor-widget elementor-widget-heading\" data-id=\"624c56e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Measuring and Simulating Elevator Passengers in Buildings\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-550f1783 elementor-widget elementor-widget-text-editor\" data-id=\"550f1783\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dr Richard Peters and Mrs Elizabeth Evans<br \/>Peters Research Ltd<\/p><p><strong><br \/>Key Words:<\/strong>\u00a0Simulation, survey, traffic analysis<\/p><p><em>This paper was presented at ELEVCON\u00a0THESSALONIKI 2008, The International Congress on Vertical Transportation Technologies\u00a0and first published in the IAEE book &#8220;Elevator Technology 17&#8221;, edited by A. Lustig.\u00a0 It is reproduced with permission from The International Assocication of Elevator Engineers.\u00a0 The paper was republished by\u00a0Lift Report\u00a0(April 2008), and by Elevation (Autumn 2009).\u00a0 This web version \u00a9 Peters Research Ltd 2009.<\/em><\/p><h3>Abstract<\/h3><p>Elevator traffic surveys are an essential part of understanding elevator passenger traffic in buildings, a prerequisite for good traffic analysis design.\u00a0 In this paper the authors describe how to: (i) perform a traffic survey using a manual count of passengers at the main lobby and in the cars; (ii) analyse the data measured; (iii) model the building surveyed in simulation.\u00a0 An example survey and analysis is presented, including a description of the software tools used to collect and process the data.\u00a0 Simulation results are shown to be consistent with the hall call analysis provided by the elevator control system.<\/p><h3><br \/>1.\u00a0Introduction<\/h3><p>In order to predict the quality of service for new and modernised elevator installations, it is necessary to make assumptions about how many people will use the elevators at different times of the day.\u00a0 Knowing this information, we can simulate a range of different scenarios with different elevator configurations and make informed design decisions.<\/p><p>The purpose of this paper is to describe and to demonstrate a methodology for measuring traffic in buildings, so that the survey data can be (i) generalised and applied to other buildings and (ii) used to model the existing elevator traffic in simulation.<\/p><h3><br \/>2.\u00a0Traffic analysers<\/h3><p>Traffic analysers are sometimes linked to or built into elevator control systems, and record the time every landing and car call is made and cleared.\u00a0 They analyse this data and provide a range of performance results and graphs.\u00a0 Traffic analysers give a good indication of the elevator system\u2019s performance, but very limited information about the actual passenger traffic flow.\u00a0 For example, Figure 1 shows the results of a traffic survey carried out with a traffic analyser.\u00a0 The upper section of the graph shows the up hall calls placed on the system.\u00a0 The lower part shows the down hall calls.\u00a0 Figure 2 shows the corresponding people count.\u00a0 The upper section of the graphs records people travelling up the building.\u00a0 The lower section of the graph records people travelling down the building.\u00a0 The hall call information gives no indication of the up peak in the morning or at the beginning of lunch measured by observers counting people.\u00a0 This is because in up peak traffic, a single hall call at the entrance level could correspond to a whole carload of passengers.\u00a0 At the same time, a down call at upper floors may correspond to a single passenger.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif\" alt=\"\" border=\"0\" \/><br \/><em><strong>Figure 1\u00a0\u00a0 Up and down calls measured by a traffic analyser<\/strong><\/em><\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image004.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 2\u00a0\u00a0 Up and down traffic measured by survey<\/em><\/strong><\/p><p>To provide useful information about passenger demand, surveys must count or estimate the number of people transported as opposed to the number of calls registered.\u00a0 Some suppliers [1] have used information from passenger detection systems (light beams) and load weighing to provide this information.\u00a0 With destination control, every passenger is assumed to register his or her own call; this too can yield much more valuable estimates of the actual passenger traffic flow.\u00a0 However, in the vast majority of buildings, this type of traffic monitoring is not available, which is why there is a need for manual passenger surveys.<\/p><h3><br \/>3.\u00a0Describing traffic<\/h3><p>In many office buildings it is unlikely that all the population will be present on any day [2].\u00a0 Thus it is important to express passenger demand as a percentage of the \u201cobserved population\u201d.\u00a0 This normalises results for office buildings so that they can be applied to other buildings (normalising traffic for other building types will be addressed in future publications).\u00a0 An example plot of observed building population is given in Figure 3.\u00a0<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image006.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 3\u00a0\u00a0 Observed building population<\/em><\/strong><\/p><p>Passenger Demand can be divided into three components:<\/p><h5>% incoming<\/h5><p>the part of the total traffic that corresponds to passengers arriving at the entrance floor(s), and travelling up the building, or down to any floors below the entrance floor(s).<\/p><h5>% outgoing<\/h5><p>the part of the total traffic that corresponds to passengers arriving at floors above (or below) the entrance floor(s), and travelling to the entrance floor(s).<\/p><h5>% interfloor<\/h5><p>the part of the total arrival rate that corresponds to passengers travelling between floors other than the entrance floor(s).<\/p><p>To measure passenger demand, a lobby survey is required to establish the predominant incoming and outgoing traffic flow.\u00a0 An in-car survey is required to sample the interfloor traffic component.<\/p><h3><br \/>4.\u00a0Carrying out the survey<\/h3><h4>4.1\u00a0Survey Times<\/h4><p>An appropriate survey time for professional office buildings is 7 am to 10 pm.\u00a0 Any discrepancy between the people counted in and out is assumed to be the number of people in the building when the survey team arrived or left.\u00a0 Using video recordings, 24-hour surveys have been performed to confirm that this is a valid approach.\u00a0 Based on a regular 9:00 to 5:30 hrs working day with 12:30 to 13:30 hrs lunch, the recommended times for interfloor surveys are 08:30 to 09:30 hrs, 10:30 to 11:30 hrs, 12:30 to 13:30 hrs, 14:30 to 15:30 hrs and 17:00 to 18:00 hrs.\u00a0 Working times do vary, so due consideration should be given to local behaviour.<\/p><h4>4.2\u00a0Preparation<\/h4><p>Once permission to undertake the survey has been obtained, a pre-survey visit should be carried out.\u00a0 The survey team will require an unrestricted view of the elevator lobby area and to have sight of people entering and alighting the cars for counting.\u00a0 If the building is under elevated, large queues may be experienced as passenger loading is limited by the available handling capacity.\u00a0 In these situations, a better estimate of demand is obtained by counting people into and out of the elevator lobby.\u00a0 Observation positions should be as unobtrusive as possible and must not obstruct corridors and thoroughfares.\u00a0 If laptop computers are to be used for logging traffic, a power socket will normally be required.\u00a0 Light laptops with long battery life are needed if in-car surveys are to be carried out using logging software.<\/p><p>The pre-survey visit should be used as an opportunity to highlight and assess any health and safety issues e.g. location of survey team, trip hazards caused by cables.\u00a0 These issues should be discussed with building management and measures taken to resolve any issues.<\/p><p>In planning the size of the survey teams allow for continuous counting at the main entrance lobby all day.\u00a0 If there are multiple entrance floors, continuous counting will be needed at each of these floors.\u00a0 Also consider a peak time lobby survey for high use floors, such as restaurants.\u00a0 Allow for breaks and for working in shifts so that staff do not need to be at the building for the whole day.\u00a0 Because of the volume of traffic in large installations, e.g. 8 car groups, it can be necessary to schedule 2 people to be counting simultaneously at the main entrance floor during the lunchtime peak.<br \/><br \/>The choice of survey day and times should be reviewed with building management.\u00a0 It is prudent to avoid public and school holidays.\u00a0 Also, the first and last day of the working week can be less busy due to people taking extended weekends.\u00a0 It is worthwhile choosing two survey days, one for the main team, and a second date to return with one or two people only, just to measure peaks and to note any deviation from the main survey measurements.\u00a0 Awareness to transportation, e.g. train stations or any particular traffic issues, will help interpret results.<\/p><p>The net useable area and nominal building population can be used in conjunction with the measurement of observed population to establish the occupancy and absenteeism.\u00a0 Details of the elevators, which floors they serve, their size, capacity, door times and speed will be needed if the intention is to simulate the existing installation.<\/p><h4>4.3\u00a0Data Collection<\/h4><p>Data collection is conventionally in 5-minute intervals.\u00a0 Forms can be prepared to record the data [3].\u00a0 Electronic equivalents of traffic survey forms are provided with Elevate [4].\u00a0 The benefits of logging software are that each event is time stamped so that the observer does not have to keep referring to his or her watch.\u00a0 Also, processing of the data can be automated (currently Elevate customers have to send their logging files to Peters Research Ltd for processing).\u00a0 Screen shots of Elevate Count (lobby and in-car survey software) are given in Figure 4.\u00a0 Full details of their operation are provided in the Elevate user manual.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image008.jpg\" alt=\"\" border=\"0\" \/>\u00a0<img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image010.jpg\" alt=\"\" border=\"0\" \/><\/p><p><em><strong>Figure 4\u00a0\u00a0 Elevate Count, lobby and in-car survey software<\/strong><\/em><\/p><h3><br \/>5.\u00a0Data processing<\/h3><h4>5.1\u00a0Lobby Survey<\/h4><p>The lobby survey data is simple to process.\u00a0 The data is divided into 5-minute intervals, as demonstrated in Figure 5 and the corresponding Table 1.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image012.jpg\" alt=\"\" border=\"0\" \/><br \/><br \/><em><strong>Figure 5\u00a0\u00a0 Sample lobby survey data<\/strong><\/em><br \/><br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/table%201.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Table 1\u00a0 Lobby survey results table<br \/><\/em><\/strong><\/p><h4>5.2\u00a0In-Car Survey<\/h4><p>Analysis of the in-car survey data is more complex, as the observer is seeing a sample of incoming, outgoing and interfloor traffic.\u00a0 The first exercise is to identify the interfloor traffic, which is the component not seen by the lobby survey observer.\u00a0 Figure 6 illustrates how to determined which passengers contribute to interfloor traffic.<br \/><br \/><\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image014.jpg\" alt=\"\" width=\"260\" height=\"145\" border=\"0\" \/><br \/><em>Up traffic<\/em><br \/><br \/><br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image016.jpg\" alt=\"\" border=\"0\" \/><br \/><em>Down traffic<br \/><\/em><br \/><br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image018.jpg\" alt=\"\" width=\"256\" height=\"142\" border=\"0\" \/><br \/><em>Up interfloor traffic\u00a0<br \/><\/em><br \/><br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image020.jpg\" alt=\"\" border=\"0\" \/><br \/><br \/><em>Down interfloor traffic<br \/><\/em><br \/><br \/><strong><em>Figure 6\u00a0\u00a0 Illustration of the identification of interfloor traffic for an in-car survey<\/em><\/strong><\/p><p>On this basis, the log of interfloor traffic can be processed, as shown in Figure 7.\u00a0 Note that as people are counted both into and out of the cars, 14 events in the log correspond to 7 people.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image022.jpg\" alt=\"\" border=\"0\" \/><\/p><p><strong><em>Figure 7\u00a0\u00a0 Sample processing of in-car survey data<\/em><br \/><\/strong><\/p><h4>5.3\u00a0Calculation of Demand<\/h4><p>Assume the interfloor traffic, as a proportion of lobby traffic, is constant throughout each one hour in-car survey period.\u00a0 On this basis, the lobby survey data can be scaled to include the interfloor traffic, which has been sampled by the in-car survey.\u00a0 In persons per five minutes:<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image024.gif\" alt=\"\" border=\"0\" \/>\u00a0(1)<\/p><p>In the periods between the one hour in-car surveys, assume the data is consistent, i.e. the in-car analysis from 08:30 to 09:30 hrs data is also valid from 9:30 to 10:00; the in-car analysis from 10:30 to 11:30 hrs data is also valid from 10:00 to 10:30.<\/p><p>Then determine the division of the total passenger demand between incoming, outgoing and interfloor traffic:<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image026.gif\" alt=\"\" border=\"0\" \/>\u00a0(2)<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image028.gif\" alt=\"\" border=\"0\" \/>\u00a0(3)<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image030.gif\" alt=\"\" border=\"0\" \/>\u00a0(4)<\/p><p>Finally, express the passenger demand as a percentage of the observed building population:<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image032.gif\" alt=\"\" border=\"0\" \/>\u00a0(5)<\/p><p>This yields a summary table of demand, as per the example in Table 2.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/table%202.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Table 2\u00a0\u00a0 Sample results for passenger demand<\/em><\/strong><br \/><br \/><br \/><\/p><h3>6.\u00a0Simulation of the traffic<\/h3><p>To transfer the data to Elevate or other simulation programs, distribute the observed population across the upper floors according to the ratio of floor areas.\u00a0 Then use the traffic generating utilities to create arrival rate and destination probability tables for each 5-minute period based on input of % demand and % incoming, outgoing and interfloor.\u00a0 Figure 8 shows the resulting Elevate plot for the passenger demand for the building referred to in section 2.\u00a0\u00a0<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image034.gif\" alt=\"\" border=\"0\" \/><br \/><br \/><strong><em>Figure 8\u00a0\u00a0 Elevate plot of passenger demand<\/em><\/strong><\/p><p>Figure 9 plots passenger activity, which shows incoming, outgoing and interfloor traffic stacked on top of each other.<\/p><p><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image036.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 9\u00a0\u00a0 Elevate plot of passenger activity<\/em><\/strong><\/p><p>The building is multi-tenancy with negligible interfloor traffic and an observed population of 1442 people.\u00a0 This is a high-rise bank so there is no stair contribution to incoming and outgoing traffic.\u00a0 The peak demands recorded were as summarised in Table 3.<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/table%203.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Table 3\u00a0\u00a0 Peak passenger demand results for sample building<\/em><\/strong><br \/><br \/>To demonstrate consistency between simulation and measurement, an Elevate simulation has been run.\u00a0 Simulation results are normally presented in terms of waiting time and time to destination, but simulation software can also count hall calls.\u00a0 Figure 10 show the simulation results for up and down calls, for comparison with Figure 1. The results show a good correlation.\u00a0 The down calls peaks are marginally higher than expected; this is probably due to some passengers travelling in groups in the actual installation, and less grouping in the simulation.\u00a0<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image038.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 10 Up and down calls measured in simulation<\/em><\/strong><\/p><h3><br \/>7.\u00a0Further considerations<\/h3><h4>7.1\u00a0Stair Usage<\/h4><p>In a low rise building stair usage can also be monitored for a better understanding of the demand.\u00a0 Figure 11 is a plot of the passenger demand in a single tenancy low-rise building combining both the elevator and stair traffic.\u00a0 Without access to the stairs, this would have been the demand on the elevators.\u00a0\u00a0<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image040.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 11\u00a0\u00a0 Combined elevator and stair passenger demand for in sample low-rise building<\/em><\/strong><\/p><p>However, in this building, there is easy access to stairs, and the occupants are inclined to use them.\u00a0 Figure 12 shows the actual demand on the elevators.<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image042.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 12\u00a0\u00a0 Elevator demand in sample low-rise building<\/em><\/strong><\/p><h4>7.2\u00a0Multiple Entrances<\/h4><p>To manage multiple entrance floors, a lobby survey needs to be carried out on each of the entrance floors.\u00a0 The relative demand between the entrance floors is known as entrance level bias.\u00a0 Figure 13 plots the entrance level in a building that has two entrance levels.<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image044.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 13\u00a0\u00a0 Entrance level bias for building with multiple entrances<\/em><\/strong><\/p><h4>7.3\u00a0Car Loading<\/h4><p>In-car survey data can also be used to plot car occupancy.\u00a0 Elevate Count allows for the logging of refusals, i.e. where a car is so crowded that a passenger decides not to load, preferring to wait for the next car.\u00a0 This can be used to establish capacity factor.\u00a0 In the example given in Figure 14, the 15th person refused to load the 23-person car.\u00a0 Therefore 14 persons was the maximum loading for the 23-person car, yielding a capacity factor 61%.\u00a0<br \/><br \/><img decoding=\"async\" src=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image046.gif\" alt=\"\" border=\"0\" \/><br \/><strong><em>Figure 14\u00a0\u00a0 Occupancy scatter diagram<\/em><\/strong><br \/><br \/><\/p><h3>8.\u00a0Conclusions<\/h3><p>A comprehensive study of elevator traffic demand is a major task requiring a team of observers.\u00a0 However, the data it yields is valuable.\u00a0 With a model of the existing traffic in a building, we have the basis for assessing the benefit of modernisation improvements using simulation.\u00a0 The authors would like to encourage others to adopt the survey methodology described in this paper so that, as an industry, we present traffic survey results consistently.\u00a0 To this end, the authors will provide assistance and guidance for those prepared to share their survey results.\u00a0 As we continue to study more buildings, we will be in a better position to improve our design criteria for new buildings.<\/p><p>Finally, for those who would take the results presented in this paper and use them immediately as a basis for reducing their current peak 5-minute handling criteria, beware!\u00a0 The risks are that (i) the buildings presented are not worst case (ii) actual elevator performance is not as good as assumed in calculations, (iii) elevators may occasionally be out of service during peak times.\u00a0 Departing from conventional criteria for elevator selection and reducing the number of elevators for new buildings introduces risk.\u00a0 Before lowering design requirements, designers must understand and communicate the issues, adopting strategies that mitigate the risk of long queues, crowded cars, and unacceptably long passenger waiting and transit times.<\/p><p><br \/><strong>REFERENCES<\/strong><\/p><p>1.\u00a0Siikonon M-L On Traffic Planning Methodology (Elevator Technology 10) Proc. ELEVCON 2000 (International Association of Elevator Engineers) (2000)<br \/>2.\u00a0Barney G The Elevator Traffic Handbook (Section 6.3) (London: Spon Press)(2003)<br \/>3.\u00a0ElevateTM traffic analysis &amp; simulation software,\u00a0<a href=\"https:\/\/wordpress.peters-research.com\/undefined\/\">www.peters-research.com<\/a><br \/>4.\u00a0Stakosch G\u00a0 The Vertical Transportation Handbook (Chichester: John Wiley)(1998)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Measuring and Simulating Elevator Passengers in Buildings Dr Richard Peters and Mrs Elizabeth EvansPeters Research Ltd Key Words:\u00a0Simulation, survey, traffic analysis This paper was presented at ELEVCON\u00a0THESSALONIKI 2008, The International Congress on Vertical Transportation Technologies\u00a0and first published in the IAEE book &#8220;Elevator Technology 17&#8221;, edited by A. Lustig.\u00a0 It is reproduced with permission from The [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":860,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_canvas","meta":{"footnotes":""},"class_list":["post-1041","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Measuring and Simulating Elevator Passengers in Buildings - Peters Research<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Measuring and Simulating Elevator Passengers in Buildings - Peters Research\" \/>\n<meta property=\"og:description\" content=\"Measuring and Simulating Elevator Passengers in Buildings Dr Richard Peters and Mrs Elizabeth EvansPeters Research Ltd Key Words:\u00a0Simulation, survey, traffic analysis This paper was presented at ELEVCON\u00a0THESSALONIKI 2008, The International Congress on Vertical Transportation Technologies\u00a0and first published in the IAEE book &#8220;Elevator Technology 17&#8221;, edited by A. Lustig.\u00a0 It is reproduced with permission from The [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/\" \/>\n<meta property=\"og:site_name\" content=\"Peters Research\" \/>\n<meta property=\"article:modified_time\" content=\"2020-11-17T11:50:29+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"12 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/\",\"url\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/\",\"name\":\"Measuring and Simulating Elevator Passengers in Buildings - Peters Research\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/wordpress.peters-research.com\\\/images\\\/stories\\\/papers\\\/Measuringandsimulating\\\/image002.gif\",\"datePublished\":\"2020-11-17T11:38:22+00:00\",\"dateModified\":\"2020-11-17T11:50:29+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/#primaryimage\",\"url\":\"https:\\\/\\\/wordpress.peters-research.com\\\/images\\\/stories\\\/papers\\\/Measuringandsimulating\\\/image002.gif\",\"contentUrl\":\"https:\\\/\\\/wordpress.peters-research.com\\\/images\\\/stories\\\/papers\\\/Measuringandsimulating\\\/image002.gif\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/measuring-and-simulating-elevator-passengers-in-buildings\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/wordpress.peters-research.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Papers\",\"item\":\"https:\\\/\\\/wordpress.peters-research.com\\\/index.php\\\/papers\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Measuring and Simulating Elevator Passengers in Buildings\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#website\",\"url\":\"https:\\\/\\\/wordpress.peters-research.com\\\/\",\"name\":\"Peters Research Ltd Devlopment\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/wordpress.peters-research.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#organization\",\"name\":\"Peters Research Ltd\",\"url\":\"https:\\\/\\\/wordpress.peters-research.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/wordpress.peters-research.com\\\/wp-content\\\/uploads\\\/2020\\\/06\\\/cropped-peters_research-logo-white-small.png\",\"contentUrl\":\"https:\\\/\\\/wordpress.peters-research.com\\\/wp-content\\\/uploads\\\/2020\\\/06\\\/cropped-peters_research-logo-white-small.png\",\"width\":1519,\"height\":669,\"caption\":\"Peters Research Ltd\"},\"image\":{\"@id\":\"https:\\\/\\\/wordpress.peters-research.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Measuring and Simulating Elevator Passengers in Buildings - Peters Research","robots":{"index":"noindex","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"en_GB","og_type":"article","og_title":"Measuring and Simulating Elevator Passengers in Buildings - Peters Research","og_description":"Measuring and Simulating Elevator Passengers in Buildings Dr Richard Peters and Mrs Elizabeth EvansPeters Research Ltd Key Words:\u00a0Simulation, survey, traffic analysis This paper was presented at ELEVCON\u00a0THESSALONIKI 2008, The International Congress on Vertical Transportation Technologies\u00a0and first published in the IAEE book &#8220;Elevator Technology 17&#8221;, edited by A. Lustig.\u00a0 It is reproduced with permission from The [&hellip;]","og_url":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/","og_site_name":"Peters Research","article_modified_time":"2020-11-17T11:50:29+00:00","og_image":[{"url":"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_misc":{"Estimated reading time":"12 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/","url":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/","name":"Measuring and Simulating Elevator Passengers in Buildings - Peters Research","isPartOf":{"@id":"https:\/\/wordpress.peters-research.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/#primaryimage"},"image":{"@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/#primaryimage"},"thumbnailUrl":"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif","datePublished":"2020-11-17T11:38:22+00:00","dateModified":"2020-11-17T11:50:29+00:00","breadcrumb":{"@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/#primaryimage","url":"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif","contentUrl":"https:\/\/wordpress.peters-research.com\/images\/stories\/papers\/Measuringandsimulating\/image002.gif"},{"@type":"BreadcrumbList","@id":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/measuring-and-simulating-elevator-passengers-in-buildings\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/wordpress.peters-research.com\/"},{"@type":"ListItem","position":2,"name":"Papers","item":"https:\/\/wordpress.peters-research.com\/index.php\/papers\/"},{"@type":"ListItem","position":3,"name":"Measuring and Simulating Elevator Passengers in Buildings"}]},{"@type":"WebSite","@id":"https:\/\/wordpress.peters-research.com\/#website","url":"https:\/\/wordpress.peters-research.com\/","name":"Peters Research Ltd Devlopment","description":"","publisher":{"@id":"https:\/\/wordpress.peters-research.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/wordpress.peters-research.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/wordpress.peters-research.com\/#organization","name":"Peters Research Ltd","url":"https:\/\/wordpress.peters-research.com\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/wordpress.peters-research.com\/#\/schema\/logo\/image\/","url":"https:\/\/wordpress.peters-research.com\/wp-content\/uploads\/2020\/06\/cropped-peters_research-logo-white-small.png","contentUrl":"https:\/\/wordpress.peters-research.com\/wp-content\/uploads\/2020\/06\/cropped-peters_research-logo-white-small.png","width":1519,"height":669,"caption":"Peters Research Ltd"},"image":{"@id":"https:\/\/wordpress.peters-research.com\/#\/schema\/logo\/image\/"}}]}},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/pages\/1041","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/comments?post=1041"}],"version-history":[{"count":4,"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/pages\/1041\/revisions"}],"predecessor-version":[{"id":1073,"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/pages\/1041\/revisions\/1073"}],"up":[{"embeddable":true,"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/pages\/860"}],"wp:attachment":[{"href":"https:\/\/wordpress.peters-research.com\/index.php\/wp-json\/wp\/v2\/media?parent=1041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}