Towards Optimal Lane-changing Coordination of CAVs in Multi-lane Mixed Traffic Scenarios
Author:
Affiliation:
1. Xi’an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi’an,China
Funder
Research and Development
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611720.pdf?arnumber=10611720
Reference23 articles.
1. A bi-level cooperative driving strategy allowing lane changes
2. Multi-lane Formation Assignment and Control for Connected Vehicles
3. A hierarchical Model Predictive Control framework for on-road formation control of autonomous vehicles
4. A Framework for Lane-Change Maneuvers of Connected Autonomous Vehicles in a Mixed-Traffic Environment
5. Formation control for connected and automated vehicles on multi‐lane roads: Relative motion planning and conflict resolution
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