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A novel multi-mode hybrid control method for cooperative driving of an automated vehicle platoon
Tsinghua University, Suzhou, China.
Ocean University of China, Tsingtao, China; Yonsei University, Seoul, South Korea.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-2763-8085
Tsinghua University, Suzhou, China.
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2021 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 8, no 7, p. 5822-5838Article in journal (Refereed) Published
Abstract [en]

A multi-mode hybrid automaton is proposed for setting vehicle platoon modes with velocity, distance, length, lane position and other state information. Based on a vehicle platoon shift movement under different modes, decisions are made based on key conditional actions such as sudden acceleration changes because of vehicle distance changes, emergency braking to avoid collisions and free-lane changing choices adapted to various traffic conditions, so as to ensure effortless movement and safety in multi-mode shift. With a 3-degree (longitudinal, lateral, and yaw directions) of freedom coupled model, a hybrid vehicle platoon controller is proposed using non-singular terminal sliding mode control to ensure fast and steady tracking on the hybrid automaton outputs during the multi-mode shift process. Convergence of the hybrid controller in finite time is also analyzed with the Lyapunov exponential stability. The analysis result proves that the proposed controller not only ensures the stability of the individual vehicle and the vehicle platoon, but also ensures stability of the multi-mode shift movement system. The proposed cooperative driving strategy for vehicle platoon is evaluated using simulations, where varying traffic conditions and the influence of cutting off are considered in conjunction with demonstration simulations of a vehicle platoon’s cruising, following, lane changing, overtaking and moving in/out of garage functions.

Place, publisher, year, edition, pages
IEEE, 2021. Vol. 8, no 7, p. 5822-5838
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:mau:diva-40276DOI: 10.1109/JIOT.2020.3034221ISI: 000633436600059Scopus ID: 2-s2.0-85103315917OAI: oai:DiVA.org:mau-40276DiVA, id: diva2:1524394
Available from: 2021-02-01 Created: 2021-02-01 Last updated: 2024-02-05Bibliographically approved

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Malekian, Reza

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