OVERVIEW OF PLATOONING SYSTEMS

By C. Bergenhem, S. Shladover, E. Coelingh, Chris Englund, S. Tsugawa. 2012

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “the lead truck is driven by a human driver, and several automated trucks follow it; forming a semi-autonomous roadtrain as defined in [100].”
Platoon management with cooperative adaptive cruise control enabled by VANET (2015, background): “The architecture in [13] views collaborative driving as a group of dolphins that swim without collision while communicating with each other, and consists of control layer, management layer, and traf-ﬁc control layer.”
Joint Communication and Control for Wireless Autonomous Vehicular Platoon Systems (2018, background): “Such information exchange is needed since vehicles must be aware of the nearby environment so as to form a target platoon especially under extreme road situations where the velocity and spacing requirements for the platoon can suddenly change and must be exchanged continuously among vehicles in the ”
Benchmarks for reinforcement learning in mixed-autonomy traffic (2018, background): “For traffic control, there are a few recurring problems that are considered, including deriving controllers to minimize propagation of shockwaves in traffic [6, 7], AV assisted merging [8, 9] and energy minimization via platooning [10].”
Auditory interfaces in automated driving: an international survey (2015, background): “Furthermore, FAD is a recommended solution for achieving an optimal traffic flow, for example by means of platooning on highways (Bergenhem et al., 2012; Varaiya, 1993).”