基于多目标优化的相邻交叉口协调控制模型研究

Coordinated control model of adjacent intersection with multi-objective optimization

针对道路车辆不断增加而导致交通拥堵的问题,提出一种基于多目标优化的相邻交叉口协调控制模型。首先根据车流的离散性,引入相位差协调控制,构建相邻交叉口多目标优化问题。接着,提出修正内点法进行求解得到目标优化后的配时策略。最后,根据实际的交通数据进行仿真。仿真结果表明,与使用遗传算法相比,采用修正内点法能得到Pareto最优解。并且所提的配时方案,能够降低平均延误和减少停车次数,提高了通行效率并缓解了交通压力。

The increasing number of vehicles has led to traffic congestion on the road.In this paper,we propose a coordinated control model of adjacent intersection with multi-objective optimization at to solve the traffic congestion.Firstly,the phase differ-ence coordination control is introduced to construct a multi-objective optimization problem of adjacent intersections according to the discrete nature of the traffic flow.And then,the modified interior point method is also presented to obtain a target-optimized tim-ing strategy.Finally,simulation based on actual traffic data.The simulation results show that the modified interior point method can obtain a Pareto optimal solution compare to the genetic algorithm.Furthermore,the proposed timing scheme can reduce the average delay and the parking times.Therefore,the proposed scheme will improve the traffic efficiency and relieve the traffic pressure.