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基于速度引导控制作用下的城市快速路交通流扩展模型,建立了车辆总耗费时间与速度引导值变化幅度的多目标优化模型。采用强度Pareto进化算法(SPEA2)对比分析3种速度引导值确定方案,同时基于集合理论从Pareto前沿中选择出最优解并确定最佳方案。在此方案下,应用Matlab进行了速度引导控制仿真分析,结果表明,速度引导控制对于缓解交通拥挤具有良好效果,可为主动交通管理在城市快速路中应用提供理论支持。
Based on the model of urban expressway traffic flow expansion under the speed guidance control, a multi-objective optimization model of vehicle total time-consuming and speed guidance value variation was established. The Pareto evolutionary algorithm (SPEA2) was used to compare and analyze three kinds of velocity guidance values, and the optimal solution was selected from the Pareto front and the optimal solution was determined based on the set theory. Under this scheme, the simulation analysis of speed guidance control using Matlab is carried out. The results show that the speed guidance control has good effect on alleviating traffic congestion and can provide theoretical support for the application of active traffic management in urban expressway.