[1] Xu Linghui, Lu Jia, Wang Chong, Ran Bin, et al. Cooperative merging control strategyof connected and automated vehicles on highways [J]. Journal of Southeast University (English Edition), 2019, 35 (2): 220-227. [doi:10.3969/j.issn.1003-7985.2019.02.012]

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

35

Issue:

2019 2

Page:

220-227

Research Field:

Traffic and Transportation Engineering

Publishing date:

2019-06-30

Info

Title:

Cooperative merging control strategyof connected and automated vehicles on highways

Author(s):

Xu Linghui;  Lu Jia;  Wang Chong;  Ran Bin;  Zhang Jian

School of Transportation, Southeast University, Nanjing 210096, China

Keywords:

merging trajectory planning;  optimization problem;  classical variational method;  quadratic programming;  adaptive cruise control(ACC)model

PACS:

U491.2+65

DOI:

10.3969/j.issn.1003-7985.2019.02.012

Abstract:

To improve traffic performance when on-ramp vehicles merge into the mainstream, a collaborative merging control strategy is proposed to determine the merging sequence and trajectory control of vehicles. Merging trajectory planning takes the minimization of vehicle acceleration as the optimization objective. Either the variational method or the quadratic programming method is utilized to determine arrival time, optimal time and control variables for each vehicle. As a supplement, the adaptive cruise control(ACC)model is used to calculate each control variable in each time interval on special occasions. Simulation results show that the cooperative merging control strategy outperforms the optimal control strategy. The root mean square(RMS)of acceleration and the root mean square error(RMSE)of time headway are significantly decreased, with the reductions up to 90.1% and 25.2%, respectively. Under the cooperative control strategy, the difference between the average speed and desired speed consistently approaches zero. In addition, few or no collisions occur. To conclude, the proposed strategy favours the improvements in passenger comfort, traffic efficiency, traffic stability and safety around highway on-ramps.

References:

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Memo

Memo:

Biographies: Xu Linghui(1992—), female, Ph.D. candidate; Ran Bin(corresponding author), male, doctor, professor, bran@seu.edu.cn.
Foundation item: The Scientific Innovation Research of Graduate Students in Jiangsu Province(No.KYCX17_0145, KYCX17_0141).
Citation: Xu Linghui, Lu Jia, Wang Chong, et al.Cooperative merging control strategy of connected and automated vehicles on highways[J].Journal of Southeast University(English Edition), 2019, 35(2):220-227.DOI:10.3969/j.issn.1003-7985.2019.02.012.

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