摘要
为减少干线上车辆的平均延误时间,提出了一种基于多智能体技术的动态双向绿波带智能控制算法。采用两层递阶结构和模糊逻辑对城市交通干线进行实时协调控制。上层是协调控制器智能体,根据一段时间内交通流数据计算干线上优化的公共周期时间和上下行相位差,下层是路口控制器智能体,确定每个周期内各交叉口的绿信比。周期依照关键路口饱和度的大小由模糊控制算法进行优化,而相位差根据上下行速度进行计算,绿信比基于历史和实时的交通数据确定。实例分析表明该双向绿波带控制算法能够有效减少车辆在干线上的平均停车次数。
To reduce the mean delay time of vehicles on artery,a dynamic two-direction green wave intelligent control strategy based on multi-gaent was presented.Two-layer hierarchical structure and fuzzy logic were used to solve the coordinated control problem of the artery.Up-run offset and down-run offset in arterial were calculated by CCA（coordination controller agent）.The splits of each intersection in arterial were adjusted by ICA（intersection controller agent） at the end of each cycle.The cycle time was adjusted by a fuzzy arithmetic according to the traffic flow saturation degree of the key intersection on road.The offsets were calculated by the up-run speeds or the down-run speeds.The variable splits of each intersection were based on historical and real-time traffic information.The factual application results show that the strategy can reduce average stop number of vehicles on artery effectively.
出处
《解放军理工大学学报（自然科学版）》
EI
北大核心
2010年第5期544-550,共7页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
国家863计划资助项目(2007AA11Z216)
国家自然科学基金资助项目(50708094)
浙江省科技计划资助项目(2007C21169)
关键词
交通干线
双向绿波带
多智能体
协调控制
artery
two-direction green wave
multi-agent
coordinated control
