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An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic

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  • Lee, Tzu-Chang
  • Wong, K.I.

Abstract

This paper presents an agent-based model (ABM) for simulating the queue formation of powered two-wheelers (PTWs) in heterogeneous traffic at a signalized intersection. The main novelty is that the proposed interaction rule describing the position choice behavior of PTWs when queuing in heterogeneous traffic can capture the stochastic nature of the decision making process. The interaction rule is formulated as a multinomial logit model, which is calibrated by using a microscopic traffic trajectory dataset obtained from video footage. The ABM is validated against the survey data for the vehicular trajectory patterns, queuing patterns, queue lengths, and discharge rates. The results demonstrate that the proposed model is capable of replicating the observed queue formation process for heterogeneous traffic.

Suggested Citation

  • Lee, Tzu-Chang & Wong, K.I., 2016. "An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 199-216.
    • Handle: RePEc:eee:phsmap:v:461:y:2016:i:c:p:199-216
    DOI: 10.1016/j.physa.2016.05.005
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    References listed on IDEAS

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    Cited by:

    1. Wang, Jinghui & Lv, Wei & Jiang, Yajuan & Qin, Shuangshuang & Li, Jiawei, 2021. "A multi-agent based cellular automata model for intersection traffic control simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
    2. Milne, R. John & Delcea, Camelia & Cotfas, Liviu-Adrian & Salari, Mostafa, 2019. "New methods for two-door airplane boarding using apron buses," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
    3. Ni, Ying & Li, Yixin & Yuan, Yufei & Sun, Jian, 2023. "An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).

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