Research on the effectiveness of monitoring mechanism for "yield to pedestrian" based on system dynamics

被引:16
作者
Chen, Liang [1 ]
Sun, Jingjie [1 ]
Li, Kun [1 ]
Li, Qiaoru [1 ]
机构
[1] Hebei Univ Technol, Sch Civil & Transportat Engn, Tianjin 300401, Peoples R China
关键词
Yield to pedestrians; Evolutionary game theory; System dynamics; Penalty-incentive control; EVOLUTIONARY GAME ANALYSIS; ENVIRONMENTAL-POLLUTION; PENALTY; VIOLATIONS; VEHICLES; BEHAVIOR; MODEL; FLOW;
D O I
10.1016/j.physa.2021.126804
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
"Yield to pedestrian "at crosswalks is gradually becoming a popular issue in traffic engineering. In this issue, traffic management department (TMD), drivers and pedestrians form an evolutionary system, and they interact and influence each other therein. In order to analyze both the riskiness and effectiveness of this system, we propose a dynamical model based on evolutionary game theory, where TMD, drivers and pedestrians compete with each other. Interestingly, if penalty-incentive control is introduced, that is, both punishment and rewarding policy are executed by superior government, evolutionary outcomes indicate that all drivers choose to give way to pedestrians even without any supervision from TMD or pedestrians. Moreover, when the control strategy is absent, full cooperation of drivers can also be achieved given a certain supervision rate of TMD. We hope this finding can substantially improve the safety of pedestrians crossing roads. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页数:14
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共 62 条
[1]   Route Selection Decision-Making in an Intermodal Transport Network Using Game Theory [J].
Bukvic, Lucija ;
Pasagic Skrinjar, Jasmina ;
Abramovic, Borna ;
Zitricky, Vladislav .
SUSTAINABILITY, 2021, 13 (08)
[2]   An optimal penalty in an environmental pollution game with the suspension of production [J].
Cai, Lingru ;
Cai, Weihong ;
Zhu, Changsheng ;
Chen, Shuang ;
Zhang Mengting .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2016, 31 (04) :2321-2333
[3]   Grand Challenges in Social Physics: In Pursuit of Moral Behavior [J].
Capraro, Valerio ;
Perc, Matjaz .
FRONTIERS IN PHYSICS, 2018, 6
[4]   Analyses of the reward-penalty mechanism in green closed-loop supply chains with product remanufacturing [J].
Chen, Cheng-Kang ;
Akmalul'Ulya, M. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2019, 210 :211-223
[5]   The Dynamic Evolution of Firms' Pollution Control Strategy under Graded Reward-Penalty Mechanism [J].
Chen, Li Ming ;
Wang, Wen Ping .
DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2016, 2016
[6]   Interaction between vehicles and pedestrians at uncontrolled mid-block crosswalks [J].
Chen, Peng ;
Wu, Chaozhong ;
Zhu, Shunying .
SAFETY SCIENCE, 2016, 82 :68-76
[7]   Punishment and inspection for governing the commons in a feedback-evolving game [J].
Chen, Xiaojie ;
Szolnoki, Attila .
PLOS COMPUTATIONAL BIOLOGY, 2018, 14 (07)
[8]   Evolution of Cooperation Driven by Reputation-Based Migration [J].
Cong, Rui ;
Wu, Bin ;
Qiu, Yuanying ;
Wang, Long .
PLOS ONE, 2012, 7 (05)
[9]   Flexible enforcement and fine adjustment [J].
Decker, Christopher S. .
REGULATION & GOVERNANCE, 2007, 1 (04) :312-328
[10]   China's Railway Transportation Safety Regulation System Based on Evolutionary Game Theory and System Dynamics [J].
Feng, Fenling ;
Liu, Chengguang ;
Zhang, Jiaqi .
RISK ANALYSIS, 2020, 40 (10) :1944-1966