An Overview of Automated Vehicle Longitudinal Platoon Formation Strategies

Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV platooning strategies has been established and practical applications are being tested under real-world conditions. The emergence of sensors, communication, and control strategies has resulted in rapid and constant evolution of AV platooning strategies. In this article, we review the state-of-the-art knowledge in AV longitudinal platoon formation using a five-component platooning framework, which includes vehicle model, information-receiving process, information flow topology, spacing policy, and controller and discuss the advantages and limitations of the components. Based on the discussion about existing strategies and associated limitations, potential future research directions are presented.

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Publication Details

Journal
ACM Journal on Autonomous Transportation Systems
Published
2025-05-26
DOI
https://doi.org/10.1145/3736642
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00
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article

An Overview of Automated Vehicle Longitudinal Platoon Formation Strategies

Matthias Schmid, Mugdha Basu Thakur, Pamela Murray‐Tuite, Venkat Krovi et al.
ACM Journal on Autonomous Transportation Systems
Traffic control and management
article

An Overview of Automated Vehicle Longitudinal Platoon Formation Strategies

Matthias Schmid, Mugdha Basu Thakur, Pamela Murray‐Tuite, Venkat Krovi, Pardha Sai Krishna, Mashrur Chowdhury, M Sabbir Salek, Sakib Mahmud Khan
article en

Abstract

Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV platooning strategies has been established and practical applications are being tested under real-world conditions. The emergence of sensors, communication, and control strategies has resulted in rapid and constant evolution of AV platooning strategies. In this article, we review the state-of-the-art knowledge in AV longitudinal platoon formation using a five-component platooning framework, which includes vehicle model, information-receiving process, information flow topology, spacing policy, and controller and discuss the advantages and limitations of the components. Based on the discussion about existing strategies and associated limitations, potential future research directions are presented.

ACM Journal on Autonomous Transportation SystemsVol. 3(2)
United States Department of Transportation (US), SBS CyberSecurity (United States) (US), Mitre (United States) (US), Clemson University (US)
Openalex Percentile: Top 88%
Traffic control and management
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