城市快速路入口匝道控制算法的PARAMICS仿真研究

Simulation Study of Urban Freeway On-ramp Metering Algorithms on PARAMICS

基于对城市快速路入口匝道控制问题的分析,用微观交通仿真软件PARAMICS建立入口匝道控制仿真模型,对三种入口匝道控制算法(ALINEA,NEW-CONTROL和MIXED-CONTROL)进行仿真对比研究.结果表明三种算法都能一定程度上改善快速路的交通拥挤.同时给出三种算法的差异性描述,从交通流特征和算法特点分析产生差异的原因.最后指出MIXED-CONTROL在优化主线交通流的同时减少了入口匝道的车辆排队长度,其在高需求时的总体性能优于其它两种算法,是比较适合于实际应用的匝道感应控制算法.

Based on the analysis of urban freeway on-ramp control, an on-ramp model is developed and simulated via the microscopic transportation simulation software PARAMICS using three on-ramp control Mgorithms （ALINEA, NEW-CONTROL, and MIXED-CONTROL）. The results indicate that all of these algorithms can effectively ameliorate the traffic congestion on the freeway. The differences of these algorithms are also analyzed from the aspect of characteristics of traffic flow and algorithms. MIXED-CONTROL not only optimizes the traffic flow on the mainline but also reduces the vehicle queue of the on-ramp, which is superior to other two control strategies especially in the case of high-demand. The evidence provides that MIXED-CONTROL is a better traffic responsive ramp metering algorithms for real-world implementation.