基于规则和基于模型的交通信号控制方法适用范围

Application Scope of Rule-based and Model-based Traffic Signal Control Methods

自适应交通信号控制是根据实时的交通状况对交通流进行控制的方法,其控制策略可以分为基于模型与基于规则两种模式。为了指导交通管理部门更加合理地选择信号控制方法,对两种信号控制方法的适用范围进行了研究。以现实场景为基础搭建微观仿真模型,对不同信号控制方法的应用效果进行比较分析。仿真实验结果表明:基于模型的信号控制方法在面对复杂的应用场景和突发状况时更有优势,但在其他场景优势不明显。

Adaptive traffic signal control is a method of controlling traffic flow according to real-time traffic conditions. According to its control strategy, it can be divided into two models: model-based and rule-based. In order to guide the traffic management department to more rationally select the signal control method, the scope of application of the two signal control methods is studied. Based on the realistic scene, a micro-simulation model is built to compare and analyze the application effects of different signal control methods. Simulation results show that the model-based signal control method is more advantageous in the face of complex application scenarios and emergencies, but the advantages in other scenarios are not obvious.