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Dynamic characteristics of traffic flow with consideration of crossing pedestrians’ behavior at a nonsignalized T-shaped intersection

Author

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  • H. Echab

    (Laboratoire de Matiere Condensee et Sciences Interdisciplinaries (LaMCScl), P. O. Box 1014, Faculty of Sciences, Mohammed V University of Rabat, Morocco)

  • H. Ez-Zahraouy

    (Laboratoire de Matiere Condensee et Sciences Interdisciplinaries (LaMCScl), P. O. Box 1014, Faculty of Sciences, Mohammed V University of Rabat, Morocco)

Abstract

In this paper, we present a cellular automata model to depict the traffic characteristics at such a nonsignalized T-shaped intersection in the presence of pedestrian crossings. The vehicular traffic flow characteristics with different parameters are studied. Throughput, phase diagrams, space-time and density profiles are built to point various traffic states and the phase transition features. The principal finding of the simulation are as follows: (1) The presence of crossing pedestrians has a significant influence on the vehicular traffic and the system performance, (2) The intersection capacity has a close relevance with the state of the weaving section. The smaller the interactions are at the weaving section, the higher the capacity and (3) In order to have a higher system ability, the crosswalk location should not be far from the yield line of the weaving section.

Suggested Citation

  • H. Echab & H. Ez-Zahraouy, 2017. "Dynamic characteristics of traffic flow with consideration of crossing pedestrians’ behavior at a nonsignalized T-shaped intersection," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(11), pages 1-18, November.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:11:n:s0129183117501340
    DOI: 10.1142/S0129183117501340
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    Cited by:

    1. Wang, Yongjie & Shen, Binchang & Wu, Hao & Wang, Chao & Su, Qian & Chen, Wenqiang, 2021. "Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    2. Vladimir Shepelev & Alexandr Glushkov & Tatyana Bedych & Tatyana Gluchshenko & Zlata Almetova, 2021. "Predicting the Traffic Capacity of an Intersection Using Fuzzy Logic and Computer Vision," Mathematics, MDPI, vol. 9(20), pages 1-19, October.

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