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Impact of information feedback strategy on the car accidents in two-route scenario

Author

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  • R. Marzoug

    (Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma Del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, 62209, Cuernavaca, Morelos, Mexico)

  • N. Lakouari

    (Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma Del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, 62209, Cuernavaca, Morelos, Mexico†Laboratoire de Matière Condensée et, Sciences Interdisciplinaries (LaMCScl), P. O. Box 1014, Faculty of Sciences, Mohammed V University of Rabat, Morocco)

  • O. Oubram

    (Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma Del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, 62209, Cuernavaca, Morelos, Mexico)

  • H. Ez-Zahraouy

    (#x2020;Laboratoire de Matière Condensée et, Sciences Interdisciplinaries (LaMCScl), P. O. Box 1014, Faculty of Sciences, Mohammed V University of Rabat, Morocco)

  • L. Cisneros-Villalobos

    (Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma Del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, 62209, Cuernavaca, Morelos, Mexico)

  • J. G. Velásquez-Aguilar

    (Facultad de Ciencias Químicas e Ingeniería, Universidad Autónoma Del Estado de Morelos, Av. Universidad 1001, Col. Chamilpa, 62209, Cuernavaca, Morelos, Mexico)

Abstract

Various feedback strategies are proposed to improve the traffic flow. However, most of these works did not take road safety into consideration. In this paper, we studied the impact of four feedback strategies on the probability of rear-end collisions (Pac). We proposed a new feedback strategy named Accidents Coefficient Feedback Strategy (ACFS) in which dynamic information can be generated and displayed on a board at the entrance of two-route scenario with intersection to help drivers to choose the appropriate road. This new strategy can greatly improve road safety and make the flow smooth as possible at the same time. Moreover, the impact of the intersection and boundary rates (α and β) on Pac is also studied.

Suggested Citation

  • R. Marzoug & N. Lakouari & O. Oubram & H. Ez-Zahraouy & L. Cisneros-Villalobos & J. G. Velásquez-Aguilar, 2018. "Impact of information feedback strategy on the car accidents in two-route scenario," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 29(09), pages 1-12, September.
    • Handle: RePEc:wsi:ijmpcx:v:29:y:2018:i:09:n:s012918311850081x
    DOI: 10.1142/S012918311850081X
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    Cited by:

    1. Rachid Marzoug & Noureddine Lakouari & José Roberto Pérez Cruz & Carlos Jesahel Vega Gómez, 2022. "Cellular Automata Model for Analysis and Optimization of Traffic Emission at Signalized Intersection," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    2. Marzoug, R. & Lakouari, N. & Ez-Zahraouy, H. & Castillo Téllez, B. & Castillo Téllez, M. & Cisneros Villalobos, L., 2022. "Modeling and simulation of car accidents at a signalized intersection using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    3. Vranken, Tim & Sliwa, Benjamin & Wietfeld, Christian & Schreckenberg, Michael, 2021. "Adapting a cellular automata model to describe heterogeneous traffic with human-driven, automated, and communicating automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    4. Vranken, Tim & Schreckenberg, Michael, 2022. "Modelling multi-lane heterogeneous traffic flow with human-driven, automated, and communicating automated vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).

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