Optimal Control and Simulation of Hard Shoulder Running on Highways

Authors

Ruimin Li, 1.Department of Civil Engineering, Tsinghua University, Beijing 100084, China; ;2.Chinese National Traffic Management Engineering Research Center, Beijing 100084, China; ;
Ye Zhen, 1.Department of Civil Engineering, Tsinghua University, Beijing 100084, China; ;2.Chinese National Traffic Management Engineering Research Center, Beijing 100084, China; ;
Bin Li, 3.Key Laboratory of Technology on Intelligent Transportation Systems Research Institute of Highway, Beijing 100088, China;

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.

Recommended Citation

Li, Ruimin; Zhen, Ye; and Li, Bin (2019) "Optimal Control and Simulation of Hard Shoulder Running on Highways," Journal of System Simulation: Vol. 30: Iss. 3, Article 34.
DOI: 10.16182/j.issn1004731x.joss.201803034
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss3/34

First Page

1036

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201803034

Last Page

1045

CLC

U491

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.201803034