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Highway transportation optimization control system based on OD forecast information
International Journal of System Assurance Engineering and Management Pub Date : 2021-03-02 , DOI: 10.1007/s13198-021-01071-5
Siru Chen

In order to effectively solve the contradiction between supply and demand of road transportation and avoid waste of road facilities and construction resources, a scientific and systematic road network plan must be formulated. OD traffic flow reflects the distribution of traffic volume from the start point to the end point in the road network for a period of time. The purpose of this paper is to design and simulate a road transport optimization control system based on OD prediction information. This paper first converts the objective function of the variable speed multi-objective optimization model, and then determines the fitness function corresponding to each objective function. Then the linear normalization method is used to normalize the fitness function, and then the judgment matrix is established, and the weights are calculated by the square root method. Transform multi-objective optimization solutions into single-objective optimization solutions. Then the binary value of the decision variable speed limit value is encoded. Finally, crossover probability, mutation probability and genetic algorithm termination evolution algebra were determined. On this basis, the solution method of the optimal speed limit value is provided. After the variable speed limit was implemented for road transportation, the average speed value during peak hours increased from 82.0 to 85.9 km/h, an increase of 3.9 km/h; during the peak period, the vehicle speed increased from 83.3 to 85.6 km/h, an increase 2.3 km/h. The experimental data shows that the variable speed limit control strategy in the road transport optimization control system based on the OD prediction information has a significant effect on improving the driving efficiency of the fast lane.



中文翻译:

基于OD预测信息的公路运输优化控制系统

为了有效解决公路运输供需矛盾,避免浪费公路设施和建设资源,必须制定科学,系统的路网规划。OD流量反映了一段时间内道路网络中从起点到终点的交通量分布。本文的目的是设计和仿真基于OD预测信息的道路运输优化控制系统。本文首先对变速多目标优化模型的目标函数进行转换,然后确定与每个目标函数相对应的适应度函数。然后使用线性归一化方法对适应度函数进行归一化,然后建立判断矩阵,权重通过平方根法计算。将多目标优化解决方案转换为单目标优化解决方案。然后,对决策变速极限值的二进制值进行编码。最后,确定了交叉概率,变异概率和遗传算法终止进化代数。在此基础上,提供了最佳速度极限值的求解方法。公路运输实行可变限速后,高峰时段的平均速度值从82.0 km / h增加到85.9 km / h,增加了3.9 km / h。在高峰期,车速从83.3 km / h增加到85.6 km / h,增加了2.3 km / h。

更新日期:2021-03-02
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