Optimal lane-changing and collision avoidance strategy for intelligent vehicles in high-speed driving environments-Reference-Cited by-同舟云学术

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Optimal lane-changing and collision avoidance strategy for intelligent vehicles in high-speed driving environments

Published:2024-01-16 Issue:10 Volume:62 Page:2632-2660
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Geng Guoqing¹,Cheng Guangshuai¹^ORCID,Duan Chen²,Jiao Xuefeng³

Affiliation:

1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, People’s Republic of China

2. ECE Department, Kettering University, Flint, MI, USA

3. College of Engineering, Informatics, and Applied Sciences, Northern Arizona University, Flagstaff, AZ, USA

Funder

Hman-like steering handling mechanism and coordinated control of intelligent vehicle based on MAS model

Key R&D Program of Jiangsu Province: R&D of Integrated Control of Intelligent Transportation and Chassis Electric Integration

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2023.2300266

Reference41 articles.

1. Psychological and environmental factors affecting driver's frequent lane‐changing behaviour: a national sample of drivers in China

2. Towards connected autonomous driving: review of use-cases;Umberto M;Veh Syst Dyn,2019

3. Dynamic Modeling and Control of High-Speed Automated Vehicles for Lane Change Maneuver

4. A new strategy for rear-end collision avoidance via autonomous steering and differential braking in highway driving

5. A path and velocity planning method for lane changing collision avoidance of intelligent vehicle based on cubic 3-D Bezier curve

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1. From virtual to actual assisted tape placement − application of the Frenet frame to robotic steering trajectories;Composites Part A: Applied Science and Manufacturing;2024-11

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