Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections-Reference-Cited by-同舟云学术

Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections

Published:2023-03 Issue:3 Volume:149 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:

Du Danfeng¹^ORCID,Shen Mingyu²^ORCID,Guo Xiurong³,Sun Chaowei⁴

Affiliation:

1. Professor, Northeast Forestry Univ. College of Transportation, Harbin 150000, China (corresponding author). ORCID: .

2. Master’s Student in Vehicle Operation Engineering, Northeast Forestry Univ., Harbin 150000, China. ORCID: .

3. Professor, Northeast Forestry Univ., Harbin 150000, China.

4. Ph.D. Student in Vehicle Operation Engineering, Northeast Forestry Univ., Harbin 150000, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7243

Reference28 articles.

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3. Bouton M. et al. 2019. “Reinforcement learning with probabilistic guarantees for autonomous driving.” Preprint submitted April 15 2019. https://arxiv.org/abs/1904.07189.

4. Caird, J. K., and P. A. Hancock. 2001. “Left turn and gap acceptance crashes.” In Human factors and traffic safety. Tucson, AZ: Lawyers & Judges Publishing Company.

5. Chen J. B. Yuan and M. Tomizuka. 2019. “Model-free deep reinforcement learning for urban autonomous driving.” In Proc. 2019 IEEE Intell. Transp. Syst. Conf. (ITSC) 2765–2771. New York: IEEE.