Operational Evaluation of Traffic Guidance Systems Based on Multi-Agent-Based Simulation

doi:10.16182/j.issn1004731x.joss.201807025

Abstract

Abstract: To study the optimization effect of variable message sign-based traffic guidance system on the utilization efficiency of transportation resource, the multi-agent-based model is used to develop simulation and evaluation platform. The simulation experiments of three typical traffic guidance strategies are carried out. The effect of guidance is evaluated by the indexes as average driving time, average searching time for parking lot and parking failure rate. The result shows that the driving and parking guidance can help reduce the average driving time and the parking failure rate respectively. The influence of the traffic guidance system on the traffic operation status and the utilization of parking resource is different under different traffic demand levels, so the distribution of guidance information needs comprehensive consideration of traffic demand level and guiding strategy.

Key words: traffic guidance system, variable message sign, route choice model, parking choice model, multi-agent-based simulation

CLC Number:

U491.1

Tang Keshuang, Zhang Hengjia, Yixie Bowen. Operational Evaluation of Traffic Guidance Systems Based on Multi-Agent-Based Simulation[J]. Journal of System Simulation, 2018, 30(7): 2630-2639.

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