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Estimating pedestrian delays at signalized intersections in developing cities by Monte Carlo method

Author

Listed:
  • Yang, Jianguo
  • Li, Qingfeng
  • Wang, Zhaoan
  • Wang, Jinmei

Abstract

This paper proposes a Monte Carlo model to estimate pedestrian delays at signalized intersections adopting pre-timed two-phase control in developing cities like Xi’an, China. In the model, the signal cycle is divided into a series of subphases, and each subphase lasts 1s. The model includes four parts: vehicle generator, pedestrian generator, pedestrian model, and statistical module. Vehicle generator is used to generate a vehicle sequence traversing the crosswalk. Pedestrian generator is used to generate a pedestrian sequence arriving at the crosswalk. Pedestrian model includes a set of rules pedestrians follow at signalized intersections. And statistical module calculates the average delay of pedestrians arriving during each subphase, and the overall average delay as well. Finally, field data collected from an intersection in Xi’an are used to validate the model, and the validation results indicate that the proposed model is able to estimate accurately the average delay of pedestrians arriving during each subphase.

Suggested Citation

  • Yang, Jianguo & Li, Qingfeng & Wang, Zhaoan & Wang, Jinmei, 2005. "Estimating pedestrian delays at signalized intersections in developing cities by Monte Carlo method," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(4), pages 329-337.
    • Handle: RePEc:eee:matcom:v:68:y:2005:i:4:p:329-337
    DOI: 10.1016/j.matcom.2005.01.017
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    1. Li, Qingfeng & Wang, Zhaoan & Yang, Jianguo & Wang, Jinmei, 2005. "Pedestrian delay estimation at signalized intersections in developing cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 61-73, January.
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    Cited by:

    1. Xiaofei Ye & Yi Zhu & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Level of Service Model of the Non-Motorized Vehicle Crossing the Signalized Intersection Based on Riders’ Perception Data," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    2. Yining Lu & Tao Wang & Zhuangzhuang Wang & Chaoyang Li & Yi Zhang, 2022. "Modeling the Dynamic Exclusive Pedestrian Phase Based on Transportation Equity and Cost Analysis," IJERPH, MDPI, vol. 19(13), pages 1-20, July.

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