Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata

In order to study the effect of crossing pedestrians on traffic performance at crosswalk without signal control, the work develops a game theory-based description of pedestrian-vehicle interactions, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevan...

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Main Authors: Wu, Wenjing, Chen, Runchao, Jia, Hongfei, Li, Yongxing, Liang, Zhikang
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/152791
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1527912021-09-30T05:18:42Z Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata Wu, Wenjing Chen, Runchao Jia, Hongfei Li, Yongxing Liang, Zhikang School of Civil and Environmental Engineering Engineering::Civil engineering Nonsignalized Crosswalk Pedestrian–vehicle Conflict In order to study the effect of crossing pedestrians on traffic performance at crosswalk without signal control, the work develops a game theory-based description of pedestrian-vehicle interactions, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of the game model are calibrated by collected video data. The cellular automaton simulation system composed of a two-way four-lane traffic flow and pedestrian flow is constructed with the game model imbedded for identifying the effect of crossing pedestrians on traffic performance. The influencing factors are identified with their correlation analyzed by numerical simulation of different traffic conditions. According to the simulation results, the arrival rate of pedestrians has a great impact on traffic volume and pedestrian delay. The severity of conflicts between vehicles and pedestrians is classified and the causes are identified by analyzing the arrival rate of pedestrians and vehicles, respectively, and their relationship between one another. In addition, the threshold of traffic flow and pedestrian flow causing traffic conflicts and delay is proposed, also including the threshold of pedestrian arrival rate which will induce force crossing behaviors. The results show that the proposed model reconstructs the traits of traffic and pedestrian flow and their conflicts phenomenon at crosswalks. It provides some practical references for transportation agencies to meet pedestrians time-cost and comfort needs in crossing streets when they design pedestrian crossing facilities. This work is supported by transportation science and technology project of Jilin province under Grant No. 2018-1-19. 2021-09-30T05:18:42Z 2021-09-30T05:18:42Z 2019 Journal Article Wu, W., Chen, R., Jia, H., Li, Y. & Liang, Z. (2019). Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata. International Journal of Modern Physics C, 30(4), 1950025-. https://dx.doi.org/10.1142/S0129183119500256 0129-1831 https://hdl.handle.net/10356/152791 10.1142/S0129183119500256 2-s2.0-85064857030 4 30 1950025 en International Journal of Modern Physics C © 2019 World Scientific Publishing Company. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Nonsignalized Crosswalk
Pedestrian–vehicle Conflict
spellingShingle Engineering::Civil engineering
Nonsignalized Crosswalk
Pedestrian–vehicle Conflict
Wu, Wenjing
Chen, Runchao
Jia, Hongfei
Li, Yongxing
Liang, Zhikang
Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
description In order to study the effect of crossing pedestrians on traffic performance at crosswalk without signal control, the work develops a game theory-based description of pedestrian-vehicle interactions, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of the game model are calibrated by collected video data. The cellular automaton simulation system composed of a two-way four-lane traffic flow and pedestrian flow is constructed with the game model imbedded for identifying the effect of crossing pedestrians on traffic performance. The influencing factors are identified with their correlation analyzed by numerical simulation of different traffic conditions. According to the simulation results, the arrival rate of pedestrians has a great impact on traffic volume and pedestrian delay. The severity of conflicts between vehicles and pedestrians is classified and the causes are identified by analyzing the arrival rate of pedestrians and vehicles, respectively, and their relationship between one another. In addition, the threshold of traffic flow and pedestrian flow causing traffic conflicts and delay is proposed, also including the threshold of pedestrian arrival rate which will induce force crossing behaviors. The results show that the proposed model reconstructs the traits of traffic and pedestrian flow and their conflicts phenomenon at crosswalks. It provides some practical references for transportation agencies to meet pedestrians time-cost and comfort needs in crossing streets when they design pedestrian crossing facilities.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Wu, Wenjing
Chen, Runchao
Jia, Hongfei
Li, Yongxing
Liang, Zhikang
format Article
author Wu, Wenjing
Chen, Runchao
Jia, Hongfei
Li, Yongxing
Liang, Zhikang
author_sort Wu, Wenjing
title Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
title_short Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
title_full Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
title_fullStr Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
title_full_unstemmed Game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
title_sort game theory modeling for vehicle-pedestrian interactions and simulation based on cellular automata
publishDate 2021
url https://hdl.handle.net/10356/152791
_version_ 1713213288671608832