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Cellular automata (CA) simulation of the interaction of vehicle flows and pedestrian crossings on urban low-grade uncontrolled roads

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  • Chen, Qun
  • Wang, Yan

Abstract

This paper discusses the interaction of vehicle flows and pedestrian crossings on uncontrolled low-grade roads or branch roads without separating barriers in cities where pedestrians may cross randomly from any location on both sides of the road. The rules governing pedestrian street crossings are analyzed, and a cellular automata (CA) model to simulate the interaction of vehicle flows and pedestrian crossings is proposed. The influence of the interaction of vehicle flows and pedestrian crossings on the volume and travel time of the vehicle flow and the average wait time for pedestrians to cross is investigated through simulations. The main results of the simulation are as follows: (1) The vehicle flow volume decreases because of interruption from pedestrian crossings, but a small number of pedestrian crossings do not cause a significant delay to vehicles. (2) If there are many pedestrian crossings, slow vehicles will have little chance to accelerate, causing travel time to increase and the vehicle flow volume to decrease. (3) The average wait time for pedestrians to cross generally decreases with a decrease in vehicle flow volume and also decreases with an increase in the number of pedestrian crossings. (4) Temporal and spatial characteristics of vehicle flows and pedestrian flows and some interesting phenomena such as “crossing belt” and “vehicle belt” are found through the simulations.

Suggested Citation

  • Chen, Qun & Wang, Yan, 2015. "Cellular automata (CA) simulation of the interaction of vehicle flows and pedestrian crossings on urban low-grade uncontrolled roads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 43-57.
  • Handle: RePEc:eee:phsmap:v:432:y:2015:i:c:p:43-57
    DOI: 10.1016/j.physa.2015.03.004
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    References listed on IDEAS

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    1. G. Yannis & E. Papadimitriou & A. Theofilatos, 2013. "Pedestrian gap acceptance for mid-block street crossing," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(5), pages 450-462, July.
    2. Jiang, Rui & Wu, Qing-Song, 2006. "Interaction between vehicle and pedestrians in a narrow channel," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(1), pages 239-246.
    3. Feng, Shumin & Ding, Ning & Chen, Tao & Zhang, Hui, 2013. "Simulation of pedestrian flow based on cellular automata: A case of pedestrian crossing street at section in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2847-2859.
    4. Xin, Xiuying & Jia, Ning & Zheng, Liang & Ma, Shoufeng, 2014. "Power-law in pedestrian crossing flow under the interference of vehicles at an un-signalized midblock crosswalk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 287-297.
    5. Jin, Sheng & Qu, Xiaobo & Xu, Cheng & Wang, Dian-Hai, 2013. "Dynamic characteristics of traffic flow with consideration of pedestrians’ road-crossing behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 3881-3890.
    6. Kai Nagel, 1996. "Particle Hopping Models and Traffic Flow Theory," Working Papers 96-04-015, Santa Fe Institute.
    7. Yang, Jianguo & Deng, Wen & Wang, Jinmei & Li, Qingfeng & Wang, Zhaoan, 2006. "Modeling pedestrians' road crossing behavior in traffic system micro-simulation in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(3), pages 280-290, March.
    8. Burstedde, C & Klauck, K & Schadschneider, A & Zittartz, J, 2001. "Simulation of pedestrian dynamics using a two-dimensional cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 507-525.
    9. Kirchner, Ansgar & Schadschneider, Andreas, 2002. "Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 312(1), pages 260-276.
    10. Daganzo, Carlos F., 1981. "Estimation of gap acceptance parameters within and across the population from direct roadside observation," Transportation Research Part B: Methodological, Elsevier, vol. 15(1), pages 1-15, February.
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    3. 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).
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    5. Qi, Le & Zheng, Zhongyi & Gang, Longhui, 2017. "Marine traffic model based on cellular automaton: Considering the change of the ship’s velocity under the influence of the weather and sea," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 480-494.

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