近信号控制区混合交通的信息物理建模与群体智能控制研究

自动驾驶和网联汽车的发展，可为车辆协同行驶提供调控新途径，也会带来混合交通异质交通主体间交互关系更为复杂的新问题。掌握近信号控制区异质车辆协同行驶的内在机制，进而形成群体协同控制策略，对优化该区域交通、提升路网运行效率具有重要意义。.事实上，混合交通异质车辆的感知与控制决策机制存在本质差异，车辆协同行驶的信息物理融合特性更加突出。同时，在近信号控制区受车道属性、信号调控等影响，车流体现出一定的群集效应。为此，课题拟从信息物理融合视角解析异质车辆之间的耦合关系，探索构建车流信息物理基元模型，分析研究基元交联特性，进而揭示近信号控制区混合交通的演化规律。在此基础上，探明异质主体信息不对称和智能水平不均衡对集群协同行驶的影响机理，建立基于群体智能的近信号控制区混合交通多尺度协同控制策略。.研究成果将为突破近信号控制区混合交通群体协同控制问题提供探索，也为信息物理建模这一挑战性问题提供借鉴。

The development of automated driving and connected vehicles brings new ways of improving cooperative driving, as well as new problems due to raising interaction complexity among heterogeneous vehicles. Under the mixed traffic condition, it is of great significance to grasp the internal mechanism of the cooperative driving of heterogeneous vehicles, based on which a new kind of cooperative control strategy could be established to optimize the traffic in the vicinity of traffic signals..In fact, there are essential differences in terms of the network communication and decision-making mechanism among heterogeneous vehicles in mixed traffic, and the cyber-physical characteristics of the driving process become more prominent. Meanwhile, the traffic flow in the vicinity of traffic signals shows some flocking effect due to the lane properties, signal control and so on. Therefore, this project intends to analyze the coupling relationship among heterogeneous vehicles from the perspective of cyber-physical fusion, explore the cyber-physical motif modeling and the interconnect relationship of adjacent motifs, then reveal the evolution characteristics of mixed traffic in the vicinity of traffic signals. On the basis above, the impact of information asymmetry and intelligence imbalance of heterogeneous vehicles on cooperation emergence will be explored, and a multi-scale cooperative control strategy for mixed traffic in the vicinity of traffic signals based on swarm intelligence will be proposed..The research results will not only provide an exploration for breaking through the cooperative control problem of mixed traffic in the vicinity of traffic signals, but also provide a reference for the challenging problem of cyber-physical system modeling.