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基于动态交通流模型和匝道入口处的车辆排队模型,分析了匝道协调控制在提高高速公路路网运行效率中的作用。针对交通流模型的非线性,提出了使用遗传算法对路网匝道调节率进行优化,并且证明了匝道优化可以有效处理偶发性拥挤,快速恢复交通流的运行,减少路网的总行程时间。利用全局交通流数据的实时优化,获得系统全局最优控制,提高高速公路的运行效率。对高速公路网的仿真计算表明匝道协调控制能够有效处理偶发性拥挤,并能大大减少路网总行程时间。
Based on the dynamic traffic flow model and the vehicle queuing model at the ramp entrance, the effect of ramp coordination control on improving the operation efficiency of expressway network is analyzed. In view of the nonlinearity of the traffic flow model, a genetic algorithm is proposed to optimize the on-ramp rate of the road network, and it is proved that the ramp optimization can effectively deal with occasional congestion, restore the traffic flow quickly, and reduce the total travel time of the road network. By using the real-time optimization of global traffic flow data, the global optimal control of the system can be obtained and the operation efficiency of the expressway can be improved. Simulation results of expressway network show that ramp coordination control can effectively deal with occasional congestion and can greatly reduce the total travel time of the road network.