RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing-Reference-Cited by-同舟云学术

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RoW-based Parallel Control for Mixed Traffic Scenario: A Case Study on Lane-Changing

Published:2023-09-24 Issue: Volume: Page:5397-5402
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Yu Jingru¹,Yu Yi¹,Yao Shengyue¹,Wang Ding¹,Cai Pinlong¹,Li Honghai²,Li Li³,Wang Fei-Yue⁴,Lin Yilun¹

Affiliation:

1. Urban Computing,Shanghai Artificial Intelligence Laboratory,Shanghai,China

2. Research and Development Center of Transport Industry of Autonomous Driving Technology, RIOH High and Technology Group

3. Tsinghua University,Department of Automation,Beijing,China

4. Macau Institute of Systems Engineering, Macau University of Science and Technology,Macau,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10421950.pdf?arnumber=10421950

Reference42 articles.

1. A dynamic lane-changing decision and trajectory planning model of autonomous vehicles under mixed autonomous vehicle and human-driven vehicle environment

2. Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow

3. Controllability Analysis and Optimal Control of Mixed Traffic Flow With Human-Driven and Autonomous Vehicles

4. Integrated Lane Change Model with Relaxation and Synchronization

5. Incorporating Driver Relaxation into Factory Adaptive Cruise Control to Reduce Lane-Change Disruptions

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