IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/halshs-03109350.html
   My bibliography  Save this paper

Modélisation du trafic routier et calcul des temps de parcours sur un réseau de transports collectifs urbains

Author

Listed:
  • Charles Raux

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Anahid Nabavi

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Lény Grassot

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

  • Mirkan Geyik

    (LAET - Laboratoire Aménagement Économie Transports - UL2 - Université Lumière - Lyon 2 - ENTPE - École Nationale des Travaux Publics de l'État - CNRS - Centre National de la Recherche Scientifique)

Abstract

Le projet SimDD est un projet collaboratif dont le coordinateur est Energies-Demain. Dans le cadre de ce projet la contribution du LAET vise à développer un modèle de prévision des mobilités « du quotidien » (définies par leur ancrage sur le domicile) permettant des projections de long terme, sur différents territoires. Les différents modules de ce modèle doivent donc être robustes et transférables : • robustes par rapport aux données disponibles, aux limites de celles-ci (et des enquêtes réalisées localement), et aux erreurs de mesure ; • robustes dans le temps (passé, avenir) quant aux comportements observés (caractère stochastique des comportements d'une part, influences des évolutions socio-démographiques d'autre part) ; • robustes par rapport à la variété des territoires d'application. Le présent rapport propose une modélisation des conditions de trafic routier et une méthode de calcul des temps de parcours sur un réseau de transports collectifs.

Suggested Citation

  • Charles Raux & Anahid Nabavi & Lény Grassot & Mirkan Geyik, 2018. "Modélisation du trafic routier et calcul des temps de parcours sur un réseau de transports collectifs urbains," Working Papers halshs-03109350, HAL.
  • Handle: RePEc:hal:wpaper:halshs-03109350
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03109350
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-03109350/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Geroliminis, Nikolas & Daganzo, Carlos F., 2008. "Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 759-770, November.
    2. Jean-Pierre Nicolas & Patrick Bonnel & Jorge Cabrera Delgado & Cécile Godinot & George Marius Homocianu & Jean-Louis Routhier & Florence Toilier & Philippe Zuccarello, 2009. "SImuler les MoBilités Pour une Agglomération Durable. Rapport final du projet Simbad," Working Papers halshs-01697687, HAL.
    3. Beziat, Adrien & Koning, Martin & Toilier, Florence, 2017. "Marginal congestion costs in the case of multi-class traffic: A macroscopic assessment for the Paris Region," Transport Policy, Elsevier, vol. 60(C), pages 87-98.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arnott, Richard & Inci, Eren, 2010. "The stability of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 68(3), pages 260-276, November.
    2. Russo, Antonio & Adler, Martin W. & Liberini, Federica & van Ommeren, Jos N., 2021. "Welfare losses of road congestion: Evidence from Rome," Regional Science and Urban Economics, Elsevier, vol. 89(C).
    3. Zhang, Lele & Garoni, Timothy M & de Gier, Jan, 2013. "A comparative study of Macroscopic Fundamental Diagrams of arterial road networks governed by adaptive traffic signal systems," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 1-23.
    4. Vignon, Daniel & Yin, Yafeng & Ke, Jintao, 2023. "Regulating the ride-hailing market in the age of uberization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    5. Kenneth Small, 2015. "The Bottleneck Model: An Assessment and Interpretation," Working Papers 141506, University of California-Irvine, Department of Economics.
    6. Bedoya-Maya, Felipe & Calatayud, Agustina & González Mejia, Vileydy, 2022. "Estimating the effect of urban road congestion on air quality in Latin America," IDB Publications (Working Papers) 12468, Inter-American Development Bank.
    7. Dantsuji, Takao & Takayama, Yuki & Fukuda, Daisuke, 2023. "Perimeter control in a mixed bimodal bathtub model," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 267-291.
    8. Daganzo, Carlos F & Lehe, Lewis, 2016. "Zone Pricing in Theory and Practice," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt39f0v6kq, Institute of Transportation Studies, UC Berkeley.
    9. Takao Dantsuji & Daisuke Fukuda & Nan Zheng, 2021. "Simulation-based joint optimization framework for congestion mitigation in multimodal urban network: a macroscopic approach," Transportation, Springer, vol. 48(2), pages 673-697, April.
    10. Du, Jie & Wong, S.C. & Shu, Chi-Wang & Xiong, Tao & Zhang, Mengping & Choi, Keechoo, 2013. "Revisiting Jiang’s dynamic continuum model for urban cities," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 96-119.
    11. Su, Z.C. & Chow, Andy H.F. & Fang, C.L. & Liang, E.M. & Zhong, R.X., 2023. "Hierarchical control for stochastic network traffic with reinforcement learning," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 196-216.
    12. Yan, Qinglong & Sun, Zhe & Gan, Qijian & Jin, Wen-Long, 2018. "Automatic identification of near-stationary traffic states based on the PELT changepoint detection," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 39-54.
    13. Arnott, Richard, 2013. "A bathtub model of downtown traffic congestion," Journal of Urban Economics, Elsevier, vol. 76(C), pages 110-121.
    14. Richard Arnott & Anatolii Kokoza & Mehdi Naji, 2015. "A Model of Rush-Hour Traffic in an Isotropic Downtown Area," Working Papers 201511, University of California at Riverside, Department of Economics.
    15. Yin, Ruyang & Zheng, Nan & Liu, Zhiyuan, 2022. "Estimating fundamental diagram for multi-modal signalized urban links with limited probe data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    16. Wang, Pengfei & Guan, Hongzhi & Liu, Peng, 2020. "Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 74-98.
    17. Jiang, Chenming & Bhat, Chandra R. & Lam, William H.K., 2020. "A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019)," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 268-291.
    18. Kouvelas, Anastasios & Saeedmanesh, Mohammadreza & Geroliminis, Nikolas, 2017. "Enhancing model-based feedback perimeter control with data-driven online adaptive optimization," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 26-45.
    19. Anas, Alex, 2020. "The cost of congestion and the benefits of congestion pricing: A general equilibrium analysis," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 110-137.
    20. Kai Wang & David M Levinson, 2016. "Towards a Metropolitan Fundamental Diagram Using Travel Survey Data," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:halshs-03109350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.