双车道异质交通波同步机理分析

A stop-and-go phenomenon usually occurs in traffic congested sections, which makes the traffic flow state under multi-lane heterogeneity. Exploring the influence of vehicle lane changing behavior(LCB) on heterogeneous traffic waves in this environment is of great significance for grasping the propagation rule of traffic congestion and providing congestion clearing strategy. Taking a dual-lane scenario for example, the simulation experiment is conducted by using cellular automata to identify the heterogeneity and synchronization of traffic waves under the influence of lane changing. Based on this phenomenon, a traffic wave model under the influence of lane changing is established, and the kinematic equations of the start-stop waves under the influence of different LCBs are also given. According to the time and space characteristics of two-lane heterogeneous traffic waves, 4 basic forms of dual-lane traffic waves are defined, including adjacent state, overlapping state, inclusion state and free state. The spatio-temporal evolution rule of traffic waves and the synchronization trend in heterogeneous traffic waves are studied when vehicles change lanes in different forms. The result shows that(1)LCBs under different traffic wave forms have the influence on the transmission speed of the traffic wave, and make the starting and stopping waves of 2 lanes gradually approach and tend to be synchronized in space. (2)Different traffic wave forms also show the trend of directional transformation. Under the influence of lane changing, free state will gradually transform into inclusive state, while the adjacent state will transform into overlapping state and eventually tend to be synchronized;(3) LCBs of vehicles in the stop-and-go road section will cause the lateral transfer of operating states between different lanes, and cause the longitudinal transfer of traffic waves in the lanes, resulting in the heterogeneous traffic waves interact with each other in dual-lane environment and eventually tend to be synchronized.