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Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata

机译:基于元胞自动机的车辆掉头行为的博弈建模与仿真

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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.
机译:为了分析掉头车辆对交通性能的影响,研究工作在考虑决策不确定性的基础上,开发了基于博弈论的驾驶员在掉头场景中交互作用的描述。获得了游戏的混合策略。该模型的相关参数通过在中国长春采集的视频数据进行校准。构造了嵌入了博弈模型的双向四车道元胞自动机模型,用于识别掉头车辆对交通性能的影响。通过对不同交通状况的数值模拟来分析影响因素,并对其相关性进行识别。根据仿真结果,与相反方向相比,掉头交通对相同方向车道上的交通延误具有重大影响。通过分析掉头车辆和发生冲突的直行车辆的到达率以及彼此之间的关系,对车辆之间的冲突的严重程度进行分类,并找出原因。此外,提出了导致交通冲突和交通延误的交通流阈值。结果表明,所提出的模型重构了路段存在掉头车辆时的交通流和冲突现象的特征。

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