基于时间优化与相位协调的路网交通控制研究

The Tra?c Control Study Based on Time Optimization and Multi-phase Coordination in Road Networks

针对传统路网规模大且包含大量时变参数造成交通协调控制繁杂等问题,提出了一种将路网分解与模糊算法相结合的子区内外层相位时间、相位类型和相序协调优化的控制策略.以城市中心路口及所延拓的多路口路网为例,通过路网子区的划分,先依据单交叉路口各方向车流量对其内部运用模糊算法建立相应的配时方案,然后根据干道绿通情况来协调设置关联交叉口之间相序调整、速度优化方案,最终将整个路网交通信号灯的复杂控制转换为对路网各交叉口之间的时间优化和相位协调的内外层策略.实验结果表明:该策略在内层单交叉口及外层路网中均能实现协调控制,具有较好的时效性和经济性.

Aiming at the complexity of coordination control caused by the large scale of traditional road network and a large number of time-varying parameters,a control strategy which combines the decomposition of road network with fuzzy algorithm to optimize the phase time,phase type and phase sequence of sub-area inner and outer layer is proposed.Taking the urban central intersection and the extended multi-intersection road network as an example,by dividing the sub-areas of the road network,the corresponding timing scheme is established by applying fuzzy algorithm to each direction traffic flow of the single intersection.Then,according to the green traffic condition of the trunk road,the phase sequence adjustment and speed optimization strategy between the related intersections are coordinated and set up.Finally,the complex control of traffic lights in the whole road network is converted into the inner and outer strategies of time optimization and phase coordination among the intersections of the road network.The experimental results show that the strategy can achieve coordinated control in the inner single intersection and the outer road network,and has certain timeliness and economy.