复杂交通流条件下自适应信号控制系统协调优化方法的研究

Study of Coordination and Optimization Method of Adaptive Signal Control System under Mixed Traffic Flow Conditions

随着城市交通的发展,交通拥堵日趋严重。根据目前广泛使用的自适应信号控制系统在复杂交通流情况下的应用效果,针对自适应信号控制系统无法自主调整干线协调的缺点,提出了一种将自适应信号控制系统与协调软件相结合的策略,使信号配时应用方案更适应实际情况,缓解交通拥堵状况。通过对现有信号控制配时策略的探讨与研究,以双向(或单向)绿波带宽最大为干线协调的目标,结合现场实际运行轨迹,运用协调优化软件来获得更精准且更加贴合实际情况的数据,能确保干线协调方案的有效性,提升行车舒适度。天津市SCATS信号系统控制下的阜盛道路段条件良好,通过实例调查后,结果表明实行该结合策略有效,优化后总行驶时间减少近10%,停车次数至少降低50%,应用效果显著,协调优化能力高,能有效缓解交通拥堵,适应复杂交通流状况。

With the development of urban traffic,traffic congestion has become increasingly severe.According to the current applications of adaptive signal control systems under China’s mixed traffic flow conditions,in the paper a strategy that combines adaptive signal control system with off-line signal coordination software is proposed to obtain an effective two-way green wave band.The strategy involves:(1)achieving maximum two-way green wave;(2)adapting the bandwidth to different periods.The off-line software which has used to obtain the actual field running trajectories.It ensures the effectiveness of the two-way green wave bandwidth and improves driving comfort.The case of the Fusheng Road in Tianjin,currently under SCATS system control,is used for evaluating the proposed strategy.The results show that the proposed strategy can reduce the total travel time by at least 10%,and the number of stops reduces by at least 50%,indicating a very successful coordination improvement application.