【作者】 乔健； 宣慧玉；

【Author】 Qiao Jian, Xuan Huiyu(School of Management, Xi’an Jiaotong University, Xi’an 710049)

【机构】 西安交通大学管理学院；

【摘要】 模糊交通控制技术的研究在提高交叉口通行能力方面已取得了较多成果。但是除了效率,交通公平也非常重要。本文提出一种在考虑交通安全的前提下,兼顾效率与公平的单交叉口模糊控制模型。该模型包括两个子控制器:相序控制器根据各车道的交通紧急程度决定通行相位;时间控制器根据该相位所属各车道的交通需求程度决定通行时间。同时,设计了改进的遗传算法,用于高效获得理想的控制策略。仿真结果表明,即使基于经验确定该模型的控制策略,也比感应控制和Pappis模型更加高效与公平,优化模型则进一步提高了算法的性能。更多还原

【Abstract】 The researches on fuzzy logic based traffic control have advanced remarkably in improving the traffic efficiency.Nevertheless, apart from efficiency, traffic fairness is also very important.Here, a fuzzy logic controller for isolated intersection is proposed, in which, the traffic efficiency and fairness are considered simultaneously on the premise of traffic safety.The model is composed of two sub controllers: the green phase is determined by the phase sequence controller according to the traffic urgency degree of all lanes; and then the green time is determined by the green time controller according to the traffic demand degree of the lanes belong to this phase. At the same time, an improved genetic algorithm is designed for acquiring the ideal fuzzy control strategies efficiently.The simulation result shows that the experience - based model is more efficient and fairness than the vehicle - actuated control and Pappis’s model, and the algorithm’s performance is further improved by the optimization - based model.更多还原