Control Strategy for Ramp Traffic Based on Improved ALINEA Algorithm-Reference-Cited by-同舟云学术

Control Strategy for Ramp Traffic Based on Improved ALINEA Algorithm

Published:2024-11 Issue:11 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Zhaolei¹,Miao Wenjie²,Hao Wei³,Wu Wei⁴

Affiliation:

1. Ph.D. Student, School of Traffic and Transportation Engineering, Changsha Univ. of Science and Technology, Changsha, Hunan 410114, China.

2. Master’s Student, School of Traffic and Transportation Engineering, Changsha Univ. of Science and Technology, Changsha, Hunan 410114, China.

3. Professor, Hunan Provincial Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha Univ. of Science and Technology, Changsha, Hunan 410114, China (corresponding author).

4. Professor, School of Transportation Engineering, Chongqing Jiaotong Univ., Chongqing 400074, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8375

Reference30 articles.

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2. Expert level control of ramp metering based on multi-task deep reinforcement learning;Belletti F.;IEEE Trans. Intell. Transp. Syst.,2017

3. Deep multi-agent reinforcement learning for highway on-ramp merging in mixed traffic;Chen D.;IEEE Trans. Intell. Transp. Syst.,2023

4. Traffic forecasting with graph spatial–Temporal position recurrent network;Chen Y.;Neural Netw.,2023

5. Chi R. A. Tao and Z. Hou. 2010. “IFT-based ALINEA control for freeway traffic on-ramp metering.” In Proc. Chinese Control and Decision Conf. 4446–4450. New York: IEEE.