Lane Selection Model Based on Phase-Field Coupling and Set Pair Logic

Abstract

Intelligent and connected driving (ICD) is an effective method of the vehicle’s active safety and traffic efficiency. Lane-changing is the critical part of ICD behavior and the basic content of traffic flow theory. Lane selection is the most important during lane-changing, which has a critical influence on traffic safety and efficiency. Focusing on the development of ICD technology, a lane selection model based on phase-field coupling and set pair logic is proposed. In this model, the method of phased-field coupling is used to comprehensively analyze the full information of lanes with the interaction between cluster vehicles considering driving propensity. The certain and uncertain human-vehicle-environment information is fully explored using the method of set pair logic. In the lane selection model, the lane utility and utility gains of lane-changing are calculated to select the candidate target lane. And the overall satisfaction is analyzed to determine the target lane as the final strategy. The proposed lane selection model constructed in this research fully considers the development of ICD technology and adapts to the requirement of an Intelligent and Connected Vehicle. This research could provide a theoretical basis for vehicle autonomous behavior decision-making and ICD.