基于效用理论的车辆换道交互行为及决策模型

研究分析道路交通环境下的车辆换道交互行为，客观反映车辆微观行为特性及宏观车流运行规律。通过分析车辆换道微观驾驶行为，构建Logit模型定量分析驾驶人换道行为决策过程，基于“效用理论”思想，实现驾驶人决策效用最大化。选取青岛市杭鞍快速路实际交通流为研究背景，标定模型相关参数；进一步仿真验证了分层Logit模型的准确性。研究成果可为智能网联交通环境下的车车交互、车路协同和自动驾驶系统提供理论支撑和方法依据。

Vehicle lane changing interaction behavior and decision model based on Utility Theory

In order to study and analyze the vehicle lane changing interaction behavior under the road traffic environment, and objectively to reflect the micro behavior characteristics and macro traffic flow operation law of vehicles. By analyzing the micro driving behavior of vehicle lane changing, the logit model is established to analyze quantitatively the decision-making process of driver lane changing behavior. Based on the "utility theory", the decision-making utility of driver is maximized. The actual traffic flow of Hangan Expressway in Qingdao is taken as the research background, and model related parameters are calibrated, the accuracy of hierarchical logit model is verified by further simulation.The research results can provide theoretical support and method basis for vehicle to vehicle interaction, vehicle road coordination and automatic driving system under the intelligent network environment.