Abstract
In order to analyze the effect of U-turn vehicle on traffic performance, the work develops a game theory-based description of drivers’ interactions in U-turn scene, considering the decision-making uncertainty. The hybrid strategy of the game is obtained. The relevant parameters of model are calibrated by collected video data in Changchun, China. A two-way four-lane cellular automaton model with the game model imbedded is constructed for identifying the effect of U-turn vehicle on traffic performance. The influencing factors are identified with their correlation analyzed by numerical simulation of different traffic conditions. According to the simulation results, U-turn traffic has a significant influence on traffic delay in the lane of same direction, compared with opposite direction. The severity of conflict between vehicles is classified and the causes are identified by analyzing the arrival rate of the U-turn vehicle and the conflicting straight vehicle and the relationship with one another. In addition, the threshold of traffic flow causing traffic conflict and traffic delay are proposed. The results show that the proposed models reconstructed the traits of traffic flow and conflict phenomenon in the presence of U-turn vehicles on road section.
Highlights
The road safety has become a high-priority issue to traffic engineers and traffic authorities for decades
The results show that the proposed models reconstructed the traits of traffic flow and conflict phenomenon in the presence of U-turn vehicles on road section
In order to analyze the traffic conflict caused by vehicle Uturning and its influence on traffic flow of road section, we establish the Uturn game (UTG) model to describe drivers’ interactions between U-turn vehicle and straight vehicle and run simulation under different traffic condition based on cellular automata
Summary
The road safety has become a high-priority issue to traffic engineers and traffic authorities for decades. Conflicts between different participants, including cars, motors, buses, bicycles, and pedestrians [1,2,3,4] in the traffic, reduce road safety, resulting in extra travelling time. To solve the related problems, a number of studies have been carried out either by crash based methods such as the historical crash data analysis [5,6,7], or by proactive (noncrash) based methods which include conflicts as well as traffic maneuvers studies [8,9,10,11,12]. Many highlighted works have adequately addressed modelling and simulation of traffic conflict phenomenon such as vehicle-pedestrian in crosswalk and vehicle-vehicle in intersection. The focus of this paper is vehicle-vehicle in U-turn, an essential conflict phenomenon in heavy traffic
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