Issue |
MATEC Web Conf.
Volume 259, 2019
2018 6th International Conference on Traffic and Logistic Engineering (ICTLE 2018)
|
|
---|---|---|
Article Number | 03004 | |
Number of page(s) | 6 | |
Section | Traffic Safety and Assessment | |
DOI | https://doi.org/10.1051/matecconf/201925903004 | |
Published online | 25 January 2019 |
Research on Anomie Behavior of Drivers on Non-physical Isolated Urban Road Based on Game Theory
1 School of Highway, Chang’an University, Middle of South 2 rd Ring Road, Xi’an, Shaan’xi Province, China
2 School of Control Science and Engineering, Shandong Univiversity, Shandong, China
In order to overtake motor vehicles ahead, some motor vehicles tend to enter non-motorized lane illegally on non-physical isolated urban road, which cause a negative influence on non-motor vehicles. In this paper, this anomie behavior is studied by headway distribution function, fluid dynamics model and game theory. Utilize headway distribution function to calculate the probability of critical gap required for motor vehicles entering non- motorized lanes, and fluid mechanics model to analysis delay. After that, considering critical gap, delay, management expense and fine for anomie behavior, the time value functions of drivers and cyclists are established and regarded as the payment functions in mixed strategy Nash equilibrium. Finally, according to the result of Nash equilibrium, two optimal probability models are put forward. Under different circumstances of non-motor vehicle flow, motor vehicle speed, management expense and fine for anomie behavior, the first model quantified the optimal probability that drivers commit anomie behavior and the second model quantified the optimal probability that traffic department implements management. Furthermore, models can provide references for the management of anomie behavior on non-physical isolated urban road.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.