Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement

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Abstract Cooperative and Connected Automated Mobility (CCAM) is an emerging paradigm aimed at enhancing Urban Mobility (UM) through improved road maneuverability, reduced environmental impact, and better traffic flow. Despite its promise, CCAM is not yet fully integrated with the broader UM context. In parallel, Digital Twin (DT) technology has gained traction across sectors, including mobility, offering potential to bridge the gap between CCAM and UM. This paper first defines CCAM and UM as distinct domains, setting boundaries between them. It then proposes a detailed analysis and introduces an integrated conceptual model that combines both domains via a unified Digital Twin architecture. This model overlays the Urban Mobility DT stack—comprising services, models, and datasets—onto the CCAM DT stack to highlight areas of synergy. Based on this model, the paper outlines a streamlined development process for DT architecture and defines the necessary technology components for implementation. Whether extending one DT stack into the other or merging both, the approach fosters interoperability and knowledge transfer. The study concludes by demonstrating how DT technology can be tailored to specific mobility domains to increase operational efficiency and lower costs. A proof-of-concept validates the model’s practical application, showing real-world potential for integrated, intelligent mobility systems.
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Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement | 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 Reconciling Urban Mobility and CCAM Digital Twins for Enhanced Integration and Mutual Advancement Christophe Feltus, Francesco Ferrero, Damien Nicolas, Francesco Viti, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6921585/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 08 Jan, 2026 Read the published version in Data Science for Transportation → Version 1 posted 8 You are reading this latest preprint version Abstract Cooperative and Connected Automated Mobility (CCAM) is an emerging paradigm aimed at enhancing Urban Mobility (UM) through improved road maneuverability, reduced environmental impact, and better traffic flow. Despite its promise, CCAM is not yet fully integrated with the broader UM context. In parallel, Digital Twin (DT) technology has gained traction across sectors, including mobility, offering potential to bridge the gap between CCAM and UM. This paper first defines CCAM and UM as distinct domains, setting boundaries between them. It then proposes a detailed analysis and introduces an integrated conceptual model that combines both domains via a unified Digital Twin architecture. This model overlays the Urban Mobility DT stack—comprising services, models, and datasets—onto the CCAM DT stack to highlight areas of synergy. Based on this model, the paper outlines a streamlined development process for DT architecture and defines the necessary technology components for implementation. Whether extending one DT stack into the other or merging both, the approach fosters interoperability and knowledge transfer. The study concludes by demonstrating how DT technology can be tailored to specific mobility domains to increase operational efficiency and lower costs. A proof-of-concept validates the model’s practical application, showing real-world potential for integrated, intelligent mobility systems. Benchmarking Cooperative and Connected Automated Mobility (CCAM) Digital Twin Mobility Urban Mobility Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 08 Jan, 2026 Read the published version in Data Science for Transportation → Version 1 posted Editorial decision: Revision requested 26 Nov, 2025 Reviewers agreed at journal 28 Jul, 2025 Reviews received at journal 12 Jul, 2025 Reviewers agreed at journal 02 Jul, 2025 Reviewers invited by journal 30 Jun, 2025 Editor assigned by journal 23 Jun, 2025 Submission checks completed at journal 19 Jun, 2025 First submitted to journal 18 Jun, 2025 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. We do this by developing innovative software and high quality services for the global research community. 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