@inproceedings{3c4100522b1547aca0c061b6b10f787d,
title = "Efficient Multi-Maneuver Platooning Framework for Autonomous Vehicles on Multi-Lane Highways",
abstract = "Recently, autopilot-like vehicles have become more pervasive. To maintain inter-vehicle distance stably, Cooperative Adaptive Cruise Control (CACC) is then proposed to make each autonomous vehicle exchange its dynamic state with neighboring vehicles via vehicle-to-vehicle (V2V) communication. However, longitudinal platooning via CACC systems alone is not enough to improve traffic throughput since each vehicle has its own desired speed and only considers itself to optimize its traveling. Therefore, we develop a novel framework MANA to determine the suitable platoon-merge maneuver, lane-change maneuver, and space-reserve maneuver. Extensive simulation results manifest that MANA can avoid collisions effectively, converge fast, and save fuel consumption and CO emissions by 24% and 20%.",
keywords = "autonomous vehicle, multi-maneuver, Platooning",
author = "Ye, {Yun Hao} and Lin, {Zhi Yang} and Yao, {Chih Chiung} and Nguyen, {Lan Huong} and Kuo, {Jian Jhih} and Hwang, {Ren Hung}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 94th IEEE Vehicular Technology Conference, VTC 2021-Fall ; Conference date: 27-09-2021 Through 30-09-2021",
year = "2021",
doi = "10.1109/VTC2021-Fall52928.2021.9625361",
language = "English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings",
address = "美國",
}