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在逐日动态演化模型框架下,引入了ATIS的一致性交通预测信息,以研究其对个体出行者的路径选择行为作用以及对整体路网交通流动态演化过程的影响。按照对ATIS交通预测信息的使用与否,将路网中的所有出行者划分为两类,在此基础上,构建了一个逐日交通流演化模型,模拟路网中两类出行者的路径选择动态调整过程。对演化模型的不动点及其存在性、唯一性等理论特性进行了研究。同时,通过对模型稳定性条件的分析,证明了一致性交通预测信息增强了路网交通流演化的渐进稳定性。数值试验结果表明:出行者接收交通预测信息时受到的误差影响越小,路网交通流演化过程越容易趋于稳定。研究结果将有助于智能交通系统的优化设计。
In the framework of daily dynamic evolution model, ATIS’s consistent traffic prediction information is introduced to study its effect on path selection behavior of individual travelers and its impact on the dynamic evolution of the overall road network traffic flow. According to the use of ATIS traffic forecasting information, all the travelers in the road network are divided into two categories. On this basis, a daily traffic flow evolution model is constructed to simulate the path selection dynamics of two types of travelers in the road network Adjust the process. The fixed point of evolutionary model and its existence, uniqueness and other theoretical characteristics are studied. At the same time, by analyzing the stability of the model, it is proved that the consistent traffic forecast information enhances the gradual stability of the traffic flow evolution on the road network. The numerical results show that the less error the traveler receives when receiving the traffic prediction information, the easier the traffic flow in the road network tends to be stable. The results will contribute to the optimization of intelligent transportation system design.