快速路可变限速与匝道控制协同优化策略

可变限速控制和匝道控制是快速路交通控制的主要手段,本文对两者的协同优化策略进行了研究.借助智能车路协同系统强大的信息感知能力,通过引入微观交通流信息,对经典METANET模型进行了改造,构建了可变限速控制影响下的微观METANET模型,实现了一种新的可变限速控制策略,同时,采用ALINEA算法,对入口匝道进行了优化控制,实现了两者的协同优化.最后,基于实际道路和交通流数据搭建了仿真平台,对微观METANET模型和协同优化策略的有效性进行了验证.仿真结果表明,微观METANET模型具有良好的交通流预测效果,协同优化策略能有效地改善快速路交通流状态.

A Coordinated Optimization Strategy of Variable Speed Limit and Ramp Metering for Expressway

Variable speed limit and ramp metering are the main methods of expressway traffic control. This paper investigates a coordinated optimization strategy of the two approaches. Taking advantage of Intelligent Vehicle Infrastructure Cooperative Systems in information acquisition, the traditional METANET model is reformed by introducing microcosmic traffic flow data. A microcosmic METANET model influenced by variable speed limit is established, based on which a new variable speed limit strategy is proposed. Meanwhile, the ALINEA algorithm is introduced for on- ramp traffic control. Thus, a coordinated optimization strategy of variable speed limit and ramp metering for expressway is realized. To verify the validity of microcosmic METANET model and the coordinated optimization strategy, a simulation platform is established based on actual expressway and traffic flow data. The results show that the microcosmic METANET model works well in traffic flow data prediction and the strategy performs well in improving traffic flow status.