Inputting Strategy Simulation of Multi-ramp Coordinated Control Signal for Urban Expressway

doi:10.16182/j.issn1004731x.joss.201808028

Abstract

Abstract: Based on the analysis of the driver's reaction when the urban expressway is in traffic jamming state and stated preference survey (SP) investigating, the key parameters' variation trends when the driving behavior adjusts and the possible path changing probability for a driver in each state are determined. A cellular automaton model of coordinated control section on urban expressway is established, where the driving behaviors are described accurately. The characteristics of traffic flow is discussed via the simulation experiments after inputting coordination control signals with different on-ramp numbers upstream of jamming point. The effects of each coordinated control modes on road flux are analyzed contrastively under different traffic demands respectively. The optimal strategies of inputting coordinated control signal are given. The results of the examples indicate that as a basic management tool of urban expressway for the multi-ramp coordinated control, the impact of congestion can be reduced at the utmost and the goal of enhancing road flux can be realized only by adopting the appropriate control strategies of inputting signal according to different traffic demands and states.

Key words: traffic simulation, cellular automaton model (CAM), urban expressway, multi-ramp coordinated control, traffic jamming

CLC Number:

Pang Mingbao, Xia Zemin, Luan Yanhai. Inputting Strategy Simulation of Multi-ramp Coordinated Control Signal for Urban Expressway[J]. Journal of System Simulation, 2018, 30(8): 3050-3057.

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