Vehicle Trajectory Changes on a Closed Road Network due to Major Renewal Works

Vehicle Trajectory Changes on a Closed Road Network due to Major Renewal Works | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Vehicle Trajectory Changes on a Closed Road Network due to Major Renewal Works Hiroe Ando, Yasuo Asakura, Takuya Maruyama, Shinji Nakagawa This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4712862/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 13 Nov, 2025 Read the published version in Transportation → Version 1 posted 11 You are reading this latest preprint version Abstract Currently, Japan is entering a phase of infrastructure improvement that requires repair of highways and bridges. However, large-scale renewal work that requires long-term road closure is rare. Therefore, this study analyzes the construction activities on the Hanshin Expressway, which involves road closures, to understand its impact on traffic conditions. Understanding the actual situation is useful for improving prediction models and calibrating simulations. This study focused on vehicle-trajectory data, where the ease of data collection, quantity, and accuracy have improved in recent years. The use of vehicle-trajectory data enables the changing behavior of each vehicle to be tracked when road networks are disrupted. This paper presents a method for detecting the impact of roadworks on vehicle trajectories by comparing normal conditions, lane restrictions, and road closures. Specifically, we proposed a special origin and destination (OD) identification procedure and a route-choice variety index corresponding to changes in the set of selectable routes based on road closures. Subsequently, this was used to identify the characteristics of susceptible ODs based on the traffic flow, travel time, and route choice. The results showed that detours were extensive and spread over many routes during OD trips sandwiched between construction sections. The different levels and types of impact caused by the characteristics of ODs could be useful for traffic management in upcoming renewal projects. Route choice Vehicle trajectory data Road closure Expressway Entropy index Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 13 Nov, 2025 Read the published version in Transportation → Version 1 posted Editorial decision: Revision requested 10 Mar, 2025 Reviews received at journal 09 Mar, 2025 Reviews received at journal 10 Feb, 2025 Reviewers agreed at journal 28 Jan, 2025 Reviewers agreed at journal 08 Dec, 2024 Reviews received at journal 06 Dec, 2024 Reviewers agreed at journal 05 Nov, 2024 Reviewers invited by journal 16 Oct, 2024 Editor assigned by journal 27 Jul, 2024 Submission checks completed at journal 11 Jul, 2024 First submitted to journal 09 Jul, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4712862","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":335887869,"identity":"00309a7c-5ca6-4c9b-95dd-a10921261501","order_by":0,"name":"Hiroe 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