{"id":28719,"date":"2025-09-10T08:00:00","date_gmt":"2025-09-10T06:00:00","guid":{"rendered":"https:\/\/blog.ptvgroup.com\/?p=28719"},"modified":"2026-01-22T13:25:56","modified_gmt":"2026-01-22T12:25:56","slug":"calibrating-vissim-for-accurate-simulation-of-pedestrian-crossings","status":"publish","type":"post","link":"https:\/\/blog.ptvgroup.com\/en\/user-insights\/calibrating-vissim-for-accurate-simulation-of-pedestrian-crossings\/","title":{"rendered":"Calibrating PTV Vissim for Accurate Simulation of Pedestrian Crossings"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<div class=\"wp-block-yoast-seo-table-of-contents yoast-table-of-contents\"><h2>Table of contents<\/h2><ul><li><a href=\"#h-why-calibrate-the-social-force-model\" data-level=\"2\">Why Calibrate the Social Force Model?<\/a><\/li><li><a href=\"#h-methodology-genetic-algorithms-meet-vissim\" data-level=\"2\">Methodology: Genetic algorithms meet Vissim<\/a><\/li><li><a href=\"#h-vissim-callibearation-key-results\" data-level=\"2\">Vissim callibearation: Key Results<\/a><\/li><li><a href=\"#h-validation-and-transferability\" data-level=\"2\">Validation and Transferability<\/a><\/li><li><a href=\"#h-implications-for-practitioners\" data-level=\"2\">Implications for Practitioners<\/a><\/li><li><a href=\"#h-future-directions\" data-level=\"2\">Future Directions<\/a><\/li><li><a href=\"#h-conclusion\" data-level=\"2\">Conclusion<\/a><\/li><\/ul><\/div>\n\n\n\n<p>Walking remains one of the most critical yet under-analysed transport modes in Nepal\u2019s capital, Kathmandu. With pedestrians accounting for around 40% of all travel and average walking trips measuring just 3 km, the role of safe, efficient pedestrian facilities is undeniable. However, the city\u2019s infrastructure often falls short, particularly at crossings where pedestrians interact with vehicle flows.<\/p>\n\n\n\n<p>While microscopic simulation tools like <strong><a href=\"https:\/\/www.ptvgroup.com\/en\/products\/ptv-vissim\" target=\"_blank\" rel=\"noreferrer noopener\">PTV Vissim<\/a><\/strong> have seen extensive use for vehicle modelling in Nepal, their application to pedestrian movement has been minimal. This gap is partly due to the complexity of <a href=\"https:\/\/blog.ptvgroup.com\/en\/modeling-planning\/rediscovering-walking\/\" target=\"_blank\" rel=\"noreferrer noopener\">pedestrian dynamics<\/a> and a lack of locally calibrated parameters. I have addressed this challenge, by introducing a robust, data-driven calibration process to significantly improve simulation accuracy.<\/p>\n\n\n\n<p>The following article is based on my Master Thesis work <em>Calibration of VISSIM Social Force Model Parameters: Case Studies on Signalised Pedestrian Crossings at Min Bhawan and Pulchowk<\/em>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-why-calibrate-the-social-force-model\"><strong>Why Calibrate the Social Force Model?<\/strong><\/h2>\n\n\n\n<p>At the heart of Vissim\u2019s pedestrian simulation lies the <strong>Social Force Model (SFM)<\/strong>, which represents walking behaviour through \u201csocial forces\u201d &#8211; attractive forces towards a destination and repulsive forces from other <a href=\"https:\/\/blog.ptvgroup.com\/en\/modeling-planning\/pedestrian-simulations-times-square\/\" target=\"_blank\" rel=\"noreferrer noopener\">pedestrians and obstacles<\/a>. While the default parameters in Vissim are designed for generic <a href=\"https:\/\/blog.ptvgroup.com\/en\/user-insights\/how-pedestrian-simulation-ensures-a-smooth-flow-of-people-in-the-grand-palais-paris\/\" target=\"_blank\" rel=\"noreferrer noopener\">global conditions<\/a>, they often fail to reflect site-specific behaviours, especially in high-density, culturally distinct environments like Kathmandu.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.umovity.com\/en\/events\/signalised-pedestrian-crossings-min-bhawan-pulchowk\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Watch the webinar on this topic<\/em>:<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.umovity.com\/en\/events\/signalised-pedestrian-crossings-min-bhawan-pulchowk\" target=\"_blank\" rel=\" noreferrer noopener\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"506\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein.png\" alt=\"\" class=\"wp-image-28788\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein.png 900w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein-640x360.png 640w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein-320x180.png 320w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein-768x432.png 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/09\/3_klein-300x169.png 300w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/a><\/figure>\n\n\n\n<p>Default parameters, for instance, may overestimate the personal space pedestrians maintain, or underestimate their urgency in crossing during green phases. In signalised crossings with constrained widths, these discrepancies can distort both operational assessments and design recommendations.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d7ea5c060c7&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d7ea5c060c7\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1110\" height=\"624\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-1110x624.png\" alt=\"\" class=\"wp-image-28728\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-1110x624.png 1110w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-640x360.png 640w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-320x180.png 320w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-768x432.png 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site-300x169.png 300w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/1.-Site.png 1259w\" sizes=\"auto, (max-width: 1110px) 100vw, 1110px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">The pedestrian crossing at site 1 &#8211; Min Bhawan<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-methodology-genetic-algorithms-meet-vissim\"><strong>Methodology: Genetic algorithms meet Vissim<\/strong><\/h2>\n\n\n\n<p>The study targeted two busy signalised crossings:<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>Min Bhawan<\/strong> (New Baneshwor, Kathmandu) \u2013 14.3 m crossing length, 4.0 m width, and high pedestrian throughput.<br><\/li>\n\n\n\n<li><strong>Pulchowk<\/strong> (Lalitpur) \u2013 18 m crossing length, with more irregular entry\/exit patterns due to site geometry.<\/li>\n<\/ol>\n\n\n\n<p>Pedestrian crossing speeds were captured through one-hour videographic surveys during peak periods, with meticulous quality control to exclude non-standard movements.<\/p>\n\n\n\n<p>Seven SFM parameters were selected for calibration due to their theoretical influence on speed:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Tau<\/strong> (reaction time\/inertia)<\/li>\n\n\n\n<li><strong>ASocIso<\/strong>, <strong>BSocIso<\/strong> (isotropic repulsive forces)<\/li>\n\n\n\n<li><strong>Lambda<\/strong> (anisotropy in perception)<\/li>\n\n\n\n<li><strong>ASocMean<\/strong>, <strong>BSocMean<\/strong> (mean repulsive forces)<\/li>\n\n\n\n<li><strong>VD<\/strong> (lateral evasion)<\/li>\n<\/ul>\n\n\n\n<p>Using Python to control Vissim\u2019s COM interface, a <strong>Genetic Algorithm (GA)<\/strong> iteratively adjusted these parameters. Fitness was defined as the inverse of the <strong>Root Mean Square Percentage Error (RMSPE)<\/strong> between simulated and observed crossing speed distributions. By running multiple seeds, the process avoided overfitting to a single simulation instance.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d7ea5c06af5&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d7ea5c06af5\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"673\" height=\"355\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/Picture5.png\" alt=\"\" class=\"wp-image-28732\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/Picture5.png 673w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/Picture5-640x338.png 640w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/Picture5-300x158.png 300w\" sizes=\"auto, (max-width: 673px) 100vw, 673px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">A screenshot from the Vissim model<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-vissim-callibearation-key-results\"><strong>Vissim callibearation: Key Results<\/strong><\/h2>\n\n\n\n<p>At <strong>Min Bhawan<\/strong>, the default parameters produced an RMSPE of <strong>14.29%<\/strong>, with simulated speeds averaging 5.17 km\/h versus an observed 5.64 km\/h. After calibration, RMSPE dropped as low as <strong>4.72%<\/strong>, with improved alignment across the entire speed distribution.<\/p>\n\n\n\n<p>The recommended calibrated parameters for Kathmandu\u2019s signalised crossings are:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Parameter<\/strong><\/td><td><strong>Default<\/strong><\/td><td><strong>Recommended<\/strong><\/td><\/tr><\/thead><tbody><tr><td>Tau<\/td><td>0.40<\/td><td>0.25<\/td><\/tr><tr><td>ASocIso<\/td><td>2.72<\/td><td>0.00<\/td><\/tr><tr><td>BSocIso<\/td><td>0.20<\/td><td>0.11<\/td><\/tr><tr><td>Lambda<\/td><td>0.176<\/td><td>0.50<\/td><\/tr><tr><td>ASocMean<\/td><td>0.40<\/td><td>0.40<\/td><\/tr><tr><td>BSocMean<\/td><td>2.80<\/td><td>0.01<\/td><\/tr><tr><td>VD<\/td><td>3.00<\/td><td>4.00<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>These values reflect faster acceleration (lower Tau), reduced repulsive forces (lower ASocIso, BSocIso, BSocMean), and greater forward focus (higher Lambda) &#8211; all consistent with observed pedestrian behaviour at crossings where urgency overrides spacing preferences.<\/p>\n\n\n\n<p>At <strong>Pulchowk<\/strong>, the calibration was less dramatic, with RMSPE falling from 17.84% to around 6.8%. Lower pedestrian volumes meant fewer interactions, reducing the sensitivity of speeds to parameter adjustments.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;69d7ea5c072de&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"69d7ea5c072de\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1110\" height=\"564\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-1110x564.png\" alt=\"\" class=\"wp-image-28734\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-1110x564.png 1110w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-640x325.png 640w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-768x390.png 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-1536x780.png 1536w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison-300x152.png 300w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2025\/08\/3.-comparison.png 1920w\" sizes=\"auto, (max-width: 1110px) 100vw, 1110px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\taria-label=\"Enlarge\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.imageButtonRight\"\n\t\t\tdata-wp-style--top=\"state.imageButtonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">The graph shows the KDE comparison of the actual crossing speed distribution and the simulated speed distributions, both with and without calibration.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-validation-and-transferability\"><strong>Validation and Transferability<\/strong><\/h2>\n\n\n\n<p>Independent evening-peak datasets were used for validation, confirming that calibrated parameters consistently outperformed defaults. For Min Bhawan, validation RMSPE values for calibrated models were around <strong>6%<\/strong>, compared to <strong>12.5%<\/strong> for the default. Pulchowk saw a similar improvement.<\/p>\n\n\n\n<p>While the parameters were optimised for four-lane signalised crossings with average speeds near 1.6 m\/s, their theoretical basis suggests transferability to similar facilities in Kathmandu and potentially <a href=\"https:\/\/blog.ptvgroup.com\/en\/user-insights\/pedestrian-simulations-at-oppos-futuristic-shenzhen-tower\/\" target=\"_blank\" rel=\"noreferrer noopener\">other South Asian cities<\/a> with comparable pedestrian cultures.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-implications-for-practitioners\"><strong>Implications for Practitioners<\/strong><\/h2>\n\n\n\n<p>For transport planners and engineers using Vissim:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Accuracy gains matter<\/strong> \u2013 Even modest RMSPE reductions can significantly improve the reliability of design assessments, particularly when evaluating signal timings or pedestrian safety measures.<br><\/li>\n\n\n\n<li><strong>Context-specific calibration is essential<\/strong> \u2013 Default SFM settings may misrepresent pedestrian urgency, spacing, and interaction patterns in local contexts.<br><\/li>\n\n\n\n<li><strong>Automated methods save time<\/strong> \u2013 Genetic algorithms, once set up, explore the parameter space far more efficiently than manual trial-and-error.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-future-directions\"><strong>Future Directions<\/strong><\/h2>\n\n\n\n<p>My thesis recommends expanding calibration to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Unsignalised crossings<\/strong> and shared spaces, where pedestrian-vehicle interactions are critical.<br><\/li>\n\n\n\n<li><strong>Heterogeneous populations<\/strong>, accounting for children, elderly pedestrians, and group walking.<br><\/li>\n\n\n\n<li><strong>Additional performance metrics<\/strong>, such as waiting times and acceleration profiles, to capture behavioural nuances beyond speed.<br><\/li>\n\n\n\n<li><strong>Integrated multimodal models<\/strong>, allowing joint optimisation of pedestrian and vehicle parameters for holistic traffic management.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>By harnessing genetic algorithms to calibrate Vissim\u2019s Social Force Model for Kathmandu\u2019s signalised crossings, this research delivers a robust, validated parameter set that dramatically improves simulation accuracy. For a city where pedestrian safety and <a href=\"https:\/\/www.ptvgroup.com\/en\/application-areas\/active-mobility\" target=\"_blank\" rel=\"noreferrer noopener\">efficiency<\/a> are pressing concerns, such advancements are more than academic &#8211; they are vital tools for better urban mobility planning.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column cta-box is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-cover\"><img loading=\"lazy\" decoding=\"async\" width=\"1254\" height=\"836\" class=\"wp-block-cover__image-background wp-image-25406\" alt=\"\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg 1254w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-540x360.jpg 540w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-936x624.jpg 936w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-768x512.jpg 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-300x200.jpg 300w\" sizes=\"auto, (max-width: 1254px) 100vw, 1254px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-80 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(135deg,rgb(66,104,249) 28%,rgb(41,224,133) 88%)\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<p class=\"has-text-align-center\" style=\"font-size:24px;font-style:normal;font-weight:700\">Spotlight Talk <br>on the topic<\/p>\n\n\n\n<p class=\"has-text-align-center\">Take a look at the case studies on signalized pedestrian crossings &#8211; directly explained by our experts<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-14c487f4 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-white-background-color has-text-color has-background has-link-color has-text-align-center has-custom-font-size wp-element-button\" href=\"https:\/\/youtu.be\/XBaDfmwMHXU\" style=\"border-radius:8px;color:#6482f6;font-size:14px;font-style:normal;font-weight:500\" target=\"_blank\" rel=\"noreferrer noopener\">Watch now<\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-cover\" style=\"min-height:300px;aspect-ratio:unset;\"><img loading=\"lazy\" decoding=\"async\" width=\"1254\" height=\"836\" class=\"wp-block-cover__image-background wp-image-25406\" alt=\"\" src=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg\" data-object-fit=\"cover\" srcset=\"https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184.jpg 1254w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-540x360.jpg 540w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-936x624.jpg 936w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-768x512.jpg 768w, https:\/\/blog.ptvgroup.com\/wp-content\/uploads\/2024\/10\/iStock-1312502184-300x200.jpg 300w\" sizes=\"auto, (max-width: 1254px) 100vw, 1254px\" \/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-80 has-background-dim wp-block-cover__gradient-background has-background-gradient\" style=\"background:linear-gradient(135deg,rgb(66,104,249) 28%,rgb(41,224,133) 88%)\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-block-cover-is-layout-constrained\">\n<p class=\"has-text-align-center\" style=\"font-size:24px;font-style:normal;font-weight:700\">Spotlight Talk on the topic<\/p>\n\n\n\n<p class=\"has-text-align-center\">Take a look at the case studies on signalized pedestrian crossings &#8211; directly explained by our experts<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-14c487f4 wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-white-background-color has-text-color has-background has-link-color has-text-align-center has-custom-font-size wp-element-button\" href=\"https:\/\/youtu.be\/XBaDfmwMHXU\" style=\"border-radius:4px;color:#6482f6;font-size:14px;font-style:normal;font-weight:700\" target=\"_blank\" rel=\"noreferrer noopener\">Watch now<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div style=\"height:24px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"card-text\">A genetic algorithm-driven calibration of Vissim\u2019s Social Force Model has slashed pedestrian speed simulation errors in Kathmandu\u2019s crossings from 14% to 5%. [&#8230;]<\/p>\n<p class=\"m-0\"><a class=\"btn btn-outline-secondary btn-read-more\" href=\"https:\/\/blog.ptvgroup.com\/en\/user-insights\/calibrating-vissim-for-accurate-simulation-of-pedestrian-crossings\/\">Read More<\/a><\/p>\n","protected":false},"author":5,"featured_media":28739,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8322],"tags":[8404,8472,8398,8377,8371],"ppma_author":[8471],"class_list":["post-28719","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-user-insights","tag-accessibility","tag-pedestrian-simulation","tag-road-safety","tag-traffic-simulation","tag-urban-mobility"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Vissim Calibration for Kathmandu Pedestrian Crossings | PTV Blog<\/title>\n<meta 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