Developing a Dynamic Speed Control System for Mixed Traffic Flow to Reduce Collision Risks Near Freeway Bottlenecks-Reference-Cited by-同舟云学术

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Developing a Dynamic Speed Control System for Mixed Traffic Flow to Reduce Collision Risks Near Freeway Bottlenecks

Published:2023-11 Issue:11 Volume:24 Page:12560-12581
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Li Ye¹^ORCID,Pan Bin¹,Chen Zhibin²^ORCID,Xing Lu³

Affiliation:

1. School of Traffic and Transportation Engineering, Central South University, Changsha, China

2. Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning, NYU Shanghai, Shanghai, China

3. School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Open Fund of the Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems

Shanghai Chenguang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10304348/10164644.pdf?arnumber=10164644

Reference49 articles.

1. Harnessing connected and automated vehicle technologies to control lane changes at freeway merge bottlenecks in mixed traffic

2. Energy-aware trajectory optimization of CAV platoons through a signalized intersection

3. Cooperative Perception for Estimating and Predicting Microscopic Traffic States to Manage Connected and Automated Traffic

4. A mixed traffic speed harmonization model with connected autonomous vehicles

5. How Does Heterogeneity Affect Freeway Safety? A Simulation-Based Exploration Considering Sustainable Intelligent Connected Vehicles

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1. A surrogate model-based approach for adaptive selection of the optimal traffic conflict prediction model;Accident Analysis & Prevention;2024-11

2. Speed Limit Zone Length Control Strategy under Mixed Traffic Flow Environment: An Approach Considering Variable Speed Limit and Lane Change;Journal of Transportation Engineering, Part A: Systems;2024-11

3. Deep Q‐network learning‐based active speed management under autonomous driving environments;Computer-Aided Civil and Infrastructure Engineering;2024-06-03

4. Enhancing intersection safety in autonomous traffic: A grid-based approach with risk quantification;Accident Analysis & Prevention;2024-06

5. Predicting vehicle trajectory of non-lane based driving behaviour with Temporal Fusion Transformer;Transportmetrica B: Transport Dynamics;2024-03-11

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