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

Manxia Liu; Weiliang Zeng; Peng Chen; Xuyi Wu

doi:10.1371/journal.pone.0180992

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

Manxia Liu
, Weiliang Zeng^*
, Peng Chen
, Xuyi Wu

^*Corresponding author for this work

School of Transportation Science and Engineering

Research output: Contribution to journal › Article › peer-review

44 Scopus citations

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.

Original language	English
Article number	e0180992
Journal	PLOS ONE
Volume	12
Issue number	7
DOIs	https://doi.org/10.1371/journal.pone.0180992
State	Published - Jul 2017

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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.",

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AB - 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.

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

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