Research on Multi-Objective Optimization Models for Intersection Crossing of Connected Autonomous Vehicles With Traffic Signals-Reference-Cited by-同舟云学术

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Research on Multi-Objective Optimization Models for Intersection Crossing of Connected Autonomous Vehicles With Traffic Signals

Published:2024 Issue: Volume:12 Page:36825-36840
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ning Xiaobin¹^ORCID,Tian Haoran¹^ORCID,Lin Yong²^ORCID,Yao Xueping³,Hu Fei⁴,Yin Yuming¹^ORCID

Affiliation:

1. College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China

2. Zhijiang College of Zhejiang University of Technology, Shaoxing, China

3. Hozon New Energy Automobile Company Ltd., Tongxiang, China

4. Zhejiang VIE Science and Technology Company Ltd., Zhuji, China

Funder

Basic Public Welfare Research Program of Zhejiang Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10460549.pdf?arnumber=10460549

Reference35 articles.

1. Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Traffic Signalized Intersections

2. Impact of the Generation Interval on the Performance of Sidelink C-V2X Autonomous Mode

3. State-of-the-Art and Development Trends of Energy Management Strategies for Intelligent and Connected New Energy Vehicles: A Review

4. Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment

5. Dual-Mode Adaptive Cruise Control Strategy Based on Model Predictive Control and Neural Network for Pure Electric Vehicles

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