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Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model

Author

Listed:
  • Cao Ningbo
  • Wei Wei
  • Qu Zhaowei
  • Zhao Liying
  • Bai Qiaowen

Abstract

Limited pedestrian microcosmic simulation models focus on the interactions between pedestrians and vehicles at unmarked roadways. Pedestrians tend to head to the destinations directly through the shortest path. So, pedestrians have inclined trajectories pointing destinations. Few simulation models have been established to describe the mechanisms underlying the inclined trajectories when pedestrians cross unmarked roadways. To overcome these shortcomings, achieve solutions for optimal design features before implementation, and help to make the design more rational, the paper establishes a modified social force model for interactions between pedestrians and vehicles at unmarked roadways. To achieve this goal, stop/go decision-making model based on gap acceptance theory and conflict avoidance models were developed to make social force model more appropriate in simulating pedestrian crossing behaviors at unmarked roadways. The extended model enables the understanding and judgment ability of pedestrians about the traffic environment and guides pedestrians to take the best behavior to avoid conflict and keep themselves safe. The comparison results of observed pedestrians’ trajectories and simulated pedestrians’ trajectories at one unmarked roadway indicate that the proposed model can be used to simulate pedestrian crossing behaviors at unmarked roadways effectively. The proposed model can be used to explore pedestrians’ trajectories variation at unmarked roadways and improve pedestrian safety facilities.

Suggested Citation

  • Cao Ningbo & Wei Wei & Qu Zhaowei & Zhao Liying & Bai Qiaowen, 2017. "Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
  • Handle: RePEc:hin:jnddns:8741534
    DOI: 10.1155/2017/8741534
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