  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 paper, we review the
state-of-the-art knowledge in AV platooning 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.
