基于离散事件辨识的交叉路口自适应信号调度(英文)

Self-Adaptive Signal Scheduling at Crossroad Based on Discrete Event Identification

交叉路口的车辆调度是长期被关注的热点问题。由于交通流量分布的不确定性,道路拥塞现象不能完全避免。交通输送能力也难以在短期内有质的改善。本文提出了一种自适应信号调度算法,并通过分析不同车道的通行优先级,将车辆的到达、排队等待和离开均分别看成离散事件的不同状态。运用排队论对车辆的每一个状态进行辨识,预测出下一周期内各车道的车辆数目。本文提出了道路交通流量的目标优化函数。在相关约束条件的基础上,信号周期能根据实时交通流量和对应道路的饱和交通流量来进行调整。通过文中实例分析表明:该算法增强了整个路网的吞吐能力,提高了道路的利用率。

The scheduling control at crossroad is a hot topic. Because of the distribution and uncertainty of traffic flow, the situation of congestion can not be avoided completely and the transportation capability can not be improved for a long time. A self-adaptive signal scheduling algorithm is proposed in the paper. Traffic flow priorities in different paths are analyzed at the same time. The arriving, waiting and leaving of vehicles can be seen as the different states of discrete events. The identification of the status of every vehicle can be realized by the theory of queueing. The number of vehicles in every path can be gained by identification. An object function for optimizing traffic flow is presented in the paper. The restriction condition is also given. In the algorithm, traffic signal cycles can be adjusted according to the comparison results of real-time traffic flow and saturation traffic flow in the corresponding directions. Analysis shows the throughput in the total road network is enhanced and the loath utility is improved.