关键词: 智能交通, 可变限速控制, 匝道控制, METANET模型, ALINEA算法, 快速路, 智能车路协同系统

Abstract:

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.

Key words: intelligent transportation, variable speed limit, ramp metering, METANET model, ALINEA algorithm, freeway, Intelligent Vehicle Infrastructure Cooperative Systems