A dynamic continuous flow intersection collaborative control framework based on virtual channelization in an intelligent connected environment

Abstract

This study proposes a dynamic continuous flow intersection cooperative (DCFIC) control framework, integrating traditional continuous flow intersections with connected and automated vehicle technology. The challenge of adapting to traffic demand at conventional continuous flow intersections is addressed by incorporating virtual channelization, enabling real-time dynamic matching of road space resources to high traffic demand within brief time frames. A dynamic speed control method is introduced for exit vehicles to mitigate conflicts between these vehicles and left-turning vehicles. This method allows left-turning vehicles to change lanes without halting, actualizing continuous traffic flow. In addition, we have integrated all the methods into a unified control framework (DCFIC) for systematic control of intersection. The framework encompasses five primary modules: space layout optimization module, safety distance calculation module, left shift lane change condition I determination module, left shift lane change condition II determination module and exit vehicle platoon combination generation module. The DCFIC system activates different control modules in real-time based on the zone through which vehicles are navigating. Simulation results demonstrate that, under diverse traffic demand scenarios, DCFIC outperforms both traditional signal controls and continuous flow intersections. It exhibits pronounced adaptability, markedly reducing delays.