Towards the Next Level of Vehicle Automation Through Cooperative Driving: A Roadmap From Planning and Control Perspective

Wang, Haoran; Feng, Yongwei; Tian, Yonglin; Wang, Ziran; Hu, Jia; Tomizuka, Masayoshi

doi:10.1109/tiv.2024.3363873

IEEE Trans. Intell. Veh.

2024

DOI: 10.1109/tiv.2024.3363873

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Towards the Next Level of Vehicle Automation Through Cooperative Driving: A Roadmap From Planning and Control Perspective

Haoran Wang,

Yongwei Feng,

Yonglin Tian

et al.

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Cited by 8 publications

References 110 publications

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MPC-Based Method for Intersection Control in Mixed Traffic Environments with Autonomous Vehicles, Human-Driven Vehicles, and Pedestrians

Cao,

Zhao,

Bai

2025

J. Transp. Eng., Part A: Systems

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MPC-Based Method for Intersection Control in Mixed Traffic Environments with Autonomous Vehicles, Human-Driven Vehicles, and Pedestrians

Cao,

Zhao,

Bai

2025

J. Transp. Eng., Part A: Systems

View full text Add to dashboard Cite

Mirroring the Parking Target: An Optimal-Control-Based Parking Motion Planner With Strengthened Parking Reliability and Faster Parking Completion

Hu,

Feng,

et al. 2024

IEEE Trans. Intell. Transport. Syst.

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Validation of Energy Saving From Cooperative Driving Automation via Vehicle-in-the-Loop Tests

Hyeon,

Di Russo,

Zhan

et al. 2024

ASME Letters in Dynamic Systems and Control

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This paper presents an experimental validation of energy savings achieved through cooperative driving automation (CDA) measured by vehicle-in-the-loop (VIL) testing in car following scenarios. The impacts of different CDA classes—from status-sharing to prescriptive—on vehicle energy efficiency are explored. In the experiments, a plug-in hybrid electric vehicle runs on a chassis dynamometer integrated with simulation software that creates a virtual environment. Results indicate that when agreement-seeking cooperation operates with even a minimal number of vehicles, energy can be saved by up to 5% over human driving. Our findings highlight the considerable promise of CDA technologies for enhancing energy efficiency, especially fostering research on agreement-seeking cooperation.

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Towards the Next Level of Vehicle Automation Through Cooperative Driving: A Roadmap From Planning and Control Perspective

Cited by 8 publications

References 110 publications

MPC-Based Method for Intersection Control in Mixed Traffic Environments with Autonomous Vehicles, Human-Driven Vehicles, and Pedestrians

MPC-Based Method for Intersection Control in Mixed Traffic Environments with Autonomous Vehicles, Human-Driven Vehicles, and Pedestrians

Mirroring the Parking Target: An Optimal-Control-Based Parking Motion Planner With Strengthened Parking Reliability and Faster Parking Completion

Validation of Energy Saving From Cooperative Driving Automation via Vehicle-in-the-Loop Tests

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