Abstract
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.
Highlights
Traffic anomie behavior on non-physical isolated urban road refers to the behavior that travelers drive into the non-motorized lane illegally for the fake of overtaking the slow-speed vehicle ahead, which affects traffic safety and efficiency adversely
The present study focuses on the misbehavior detection, analysing the influencing factors of the traffic anomie behavior
According to the difference of time, place and character, the urban traffic anomie behavior is classified and a logistic regression model was established based on traffic participant's physiology, traffic psychology characteristics and traffic environment characteristics[5]
Summary
Traffic anomie behavior on non-physical isolated urban road refers to the behavior that travelers drive into the non-motorized lane illegally for the fake of overtaking the slow-speed vehicle ahead, which affects traffic safety and efficiency adversely. The present study mainly focuses on simulating the behavior of drivers and analysing the traffic characteristics under different mixed traffic conditions. In term of lateral movements of vehicles, based on the cellular automata theory, some studies has put forward different lane changing models to simulate lane changing behavior under mixed traffic conditions. In the aspect of anomie behavior and mixed traffic, present studies mainly focus on the present situation description , reason exploration and influence analysis. The significance of these studies is to improve the traffic condition. The anomie behavior, motor vehicles drive into non-motorized lane illegally for the sake of overtaking, was studied by headway distribution function, fluid dynamics model and game theory. The models could provide references for the management of anomie behavior on non-physical isolated urban road
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