Time Organization for Urban Mobility Decongestion: A Methodology for People’s Profile Identification

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Mobility Decongestion: A Methodology for People’s Profile Identification</title> <meta name="description" content="Time Organization for Urban Mobility Decongestion: A Methodology for People’s Profile Identification"> <meta name="keywords" content="Urban mobility, decongestion, machine learning, neural network."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Time Organization for Urban Mobility Decongestion: A Methodology for People’s Profile Identification"> <meta name="citation_author" content="Yassamina Berkane"> <meta name="citation_author" content="Leïla Kloul"> <meta name="citation_author" content="Yoann Demoli"> <meta name="citation_publication_date" content="2022/07/09"> <meta name="citation_journal_title" content="International Journal of Urban and Civil Engineering"> <meta name="citation_volume" content="16"> <meta name="citation_issue" 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href="https://publications.waset.org/search?q=Yassamina%20Berkane">Yassamina Berkane</a>, <a href="https://publications.waset.org/search?q=Le%C3%AFla%20Kloul"> Leïla Kloul</a>, <a href="https://publications.waset.org/search?q=Yoann%20Demoli"> Yoann Demoli</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Quality of life, environmental impact, congestion of mobility means, and infrastructures remain significant challenges for urban mobility. Solutions like car sharing, spatial redesign, eCommerce, and autonomous vehicles will likely increase the unit veh-km and the density of cars in urban traffic, thus reducing congestion. However, the impact of such solutions is not clear for researchers. Congestion arises from growing populations that must travel greater distances to arrive at similar locations (e.g., workplaces, schools) during the same time frame (e.g., rush hours). This paper first reviews the research and application cases of urban congestion methods through recent years. Rethinking the question of time, it then investigates people’s willingness and flexibility to adapt their arrival and departure times from workplaces. We use neural networks and methods of supervised learning to apply a methodology for predicting peoples’ intentions from their responses in a questionnaire. We created and distributed a questionnaire to more than 50 companies in the Paris suburb. Obtained results illustrate that our methodology can predict peoples’ intentions to reschedule their activities (work, study, commerce, etc.).</p> <iframe src="https://publications.waset.org/10012601.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Urban%20mobility" title="Urban mobility">Urban mobility</a>, <a href="https://publications.waset.org/search?q=decongestion" title=" decongestion"> decongestion</a>, <a href="https://publications.waset.org/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/search?q=neural%20network." title=" neural network."> neural network.</a> </p> <a href="https://publications.waset.org/10012601/time-organization-for-urban-mobility-decongestion-a-methodology-for-peoples-profile-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10012601/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10012601/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10012601/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10012601/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10012601/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10012601/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10012601/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10012601/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10012601/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10012601/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10012601.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">481</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] T. Oguchi, “Redesign of transport systems on highways, streets and avenues,” IATSS Research, vol. 32, no. 1, pp. 6–13, 2008. <br>[Online]. Available: https://www.sciencedirect.com/science/article/pii/S0386111214601953 <br>[2] D. Metz, “Developing policy for urban autonomous vehicles: Impact on congestion,” Urban Science, vol. 2, no. 2, 2018. <br>[Online]. Available: https://www.mdpi.com/2413-8851/2/2/33 <br>[3] A. Samaha and H. Mostofi, “Predicting the likelihood of using car-sharing in the greater cairo metropolitan area,” Urban Science, vol. 4, no. 4, 2020. <br>[Online]. Available: https://www.mdpi.com/2413-8851/4/4/61 <br>[4] T. Litman, “Evaluating carsharing benefits,” Transportation Research Record, vol. 1702, pp. 31–35, 01 2000. <br>[5] E. Uhlemann, “Introducing connected vehicles <br>[connected vehicles],” Vehicular Technology Magazine, IEEE, vol. 10, pp. 23–31, 03 2015. <br>[6] K. A. Marczuk, H. Soh, C. L. Azevedo, D.-H. Lee, and E. Frazzoli, “Simulation framework for rebalancing of autonomous mobility on demand systems,” 2016. <br>[7] M. Pavone, Autonomous Mobility-on-Demand Systems for Future Urban Mobility. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015, pp. 399–416. <br>[Online]. Available: https://doi.org/10.1007/978-3-662-45854-9 19 <br>[8] L. J. Basso, C. A. Guevara, A. Gschwender, and M. Fuster, “Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion,” Transport Policy, vol. 18, no. 5, pp. 676–684, 2011. <br>[Online]. Available: https://www.sciencedirect.com/science/article/pii/S0967070X1100014X <br>[9] E. G¨uresen and G. Kayakutlu, “Definition of artificial neural networks with comparison to other networks,” in WCIT, 2011. <br>[10] E. G¨ures¸en and G. Kayakutlu, “Definition of artificial neural networks with comparison to other networks,” Procedia CS, vol. 3, pp. 426–433, 12 2011. <br>[11] G. Guo, H. Wang, D. Bell, and Y. Bi, “Knn model-based approach in classification,” 08 2004. </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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Time Organization for Urban Mobility Decongestion: A Methodology for People’s Profile Identification