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A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks

Author

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  • Manxia Liu
  • Weiliang Zeng
  • Peng Chen
  • Xuyi Wu

Abstract

This study aims to develop a microscopic pedestrian behavior model considering various interactions on pedestrian dynamics at crosswalks. Particularly, we take into account the evasion behavior with counter-flow pedestrians, the following behavior with leader pedestrians, and the collision avoidance behavior with vehicles. Aerial video data at one intersection in Beijing, China are extracted for model calibration. A microscopic calibration approach based on maximum likelihood estimation is applied to estimate the parameters of a modified social force model. Finally, we validate step-wise speed, step-wise acceleration, step-wise direction change, crossing time and lane formation phenomenon by comparing the real data and simulation outputs.

Suggested Citation

  • Manxia Liu & Weiliang Zeng & Peng Chen & Xuyi Wu, 2017. "A microscopic simulation model for pedestrian-pedestrian and pedestrian-vehicle interactions at crosswalks," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    • Handle: RePEc:plo:pone00:0180992
    DOI: 10.1371/journal.pone.0180992
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    Cited by:

    1. Harley Amado & Sara Ferreira & José Pedro Tavares & Paulo Ribeiro & Elisabete Freitas, 2020. "Pedestrian–Vehicle Interaction at Unsignalized Crosswalks: A Systematic Review," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    2. Vladislav Krivda & Jan Petru & David Macha & Jakub Novak, 2021. "Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility," Sustainability, MDPI, vol. 13(5), pages 1-38, March.
    3. Zhang, Yihao & Chai, Zhaojie & Lykotrafitis, George, 2021. "Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    4. Fu, Libi & Zhang, Ying & Qin, Huigui & Shi, Qingxin & Chen, Qiyi & Chen, Yunqian & Shi, Yongqian, 2023. "A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    5. Lu, Peng & Wen, Feier & Li, Yan & Chen, Dianhan, 2021. "Multi-agent modeling of crowd dynamics under mass shooting cases," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).

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