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Cellular automata model for urban road traffic flow considering pedestrian crossing street

Author

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  • Zhao, Han-Tao
  • Yang, Shuo
  • Chen, Xiao-Xu

Abstract

In order to analyze the effect of pedestrians’ crossing street on vehicle flows, we investigated traffic characteristics of vehicles and pedestrians. Based on that, rules of lane changing, acceleration, deceleration, randomization and update are modified. Then we established two urban two-lane cellular automata models of traffic flow, one of which is about sections with non-signalized crosswalk and the other is on uncontrolled sections with pedestrians crossing street at random. MATLAB is used for numerical simulation of the different traffic conditions; meanwhile space–time diagram and relational graphs of traffic flow parameters are generated and then comparatively analyzed. Simulation results indicate that when vehicle density is lower than around 25 vehs/(km lane), pedestrians have modest impact on traffic flow, whereas when vehicle density is higher than about 60 vehs/(km lane), traffic speed and volume will decrease significantly especially on sections with non-signal-controlled crosswalk. The results illustrate that the proposed models reconstruct the traffic flow’s characteristic with the situation where there are pedestrians crossing and can provide some practical reference for urban traffic management.

Suggested Citation

  • Zhao, Han-Tao & Yang, Shuo & Chen, Xiao-Xu, 2016. "Cellular automata model for urban road traffic flow considering pedestrian crossing street," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1301-1313.
    • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:1301-1313
    DOI: 10.1016/j.physa.2016.06.146
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    Cited by:

    1. Layegh, Maziyar & Mirbaha, Babak & Rassafi, Amir Abbas, 2020. "Modeling the pedestrian behavior at conflicts with vehicles in multi-lane roundabouts (a cellular automata approach)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    2. Li, Linheng & Wang, Can & Zhang, Ying & Qu, Xu & Li, Rui & Chen, Zhijun & Ran, Bin, 2022. "Microscopic state evolution model of mixed traffic flow based on potential field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
    3. Pérez Cruz, José Roberto & Lakouari, Noureddine & Marzoug, Rachid & Pérez Sansalvador, Julio César, 2023. "Pedestrian–vehicle interactions at unsignalized mid-block crosswalks: Effects on traffic flow, CO2 emissions, and energy dissipation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).

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