交叉口信号实时滚动优化模型及算法

Real-time rolling horizon optimization of intersection signal model

为了合理控制单交叉口交通流并且优先公交,建立可变相序的实时滚动优化模型.该模型将公交优先嵌入优化控制,对每辆公交车实时分配权重系数,以交叉口社会车辆和公交车辆的人均延误最小为目标,优化确定相位序列和相位长度.通过跳相来实现相序优化,运用改进的遗传算法来求解.具体实例表明,可变相序的实时滚动优化模型能有效地减少系统的人均延误,并能在尽量减小对社会车辆的影响下实现公交优先.

In order to effectively control traffic flow and give priority to transit, a phase sequence-changeable real-time rolling horizon optimization model is proposed for isolated intersection signal controlling. The model embeds transit priority in optimization control and assigns a weighting factor in real time to every bus. The model optimizes the phase sequence and phase length with the aim of minimizing the average passenger delay of both transits and the general vehicles at the intersection. The phase sequence optimization is realized through jumping phase. The model is solved by using an improved genetic algorithm. Applied result shows that the phase sequence-changeable real-time roiling horizon optimization model can effectively reduce the average passenger delay of system, and can prioritize transit vehicles while minimizing the impact on the general vehicles.