Optimal Control and Simulation of Hard Shoulder Running on Highways

doi:10.16182/j.issn1004731x.joss.201803034

Abstract

Abstract: This paper summarizes the problems in the operation of hard shoulder running (HSR). A new algorithm for optimizing HSR on highways is proposed, which aims to minimize the total time spent (TTS) in the whole network. Based on the METANET model of highways, the algorithm utilizes genetic algorithm and sliding windows technique to forecast and optimize the operation of HSR under different constraint conditions and target functions. The strategy is tested on the I-80E highway in California. The experimental results show that when the change frequency of HSR is less than or equal to 14 during a sliding window and the weight coefficient of the closure is 0.5, the TTS is reduced by 30.61%, which is better than TTS of all-time operation or during the volumes exceed a predetermined threshold.

Key words: active traffic management, hard shoulder running, METANET, optimal control

CLC Number:

U491

Li Ruimin, Ye Zhen, Li Bin. Optimal Control and Simulation of Hard Shoulder Running on Highways[J]. Journal of System Simulation, 2018, 30(3): 1036-1045.

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