Platoon management with cooperative adaptive cruise control enabled by VANET
By M. Amoozadeh, Hui Deng, Chen-Nee Chuah, H. Michael Zhang, Dipak Ghosal. Vehicular Communications, 2015
374 citations recorded by the source corpus.
Previous studies have shown the ability of vehicle platooning to improve highway safety and throughput. With Vehicular Ad-hoc Network (VANET) and Cooperative Adaptive Cruise Control (CACC) system, vehicle platooning with small headway becomes feasible. In this paper, we developed a platoon management protocol for CACC vehicles based on wireless communication through VANET. This protocol includes three basic platooning maneuvers and a set of micro-commands to accomplish these maneuvers. Various platooning operations such as vehicle entry and vehicle (including platoon leader) leaving can be captured by these basic platoon maneuvers. The protocol operation is described in detail using various Finite State Machines (FSM), and can be applied in collaborative driving and intelligent highway systems. This protocol is implemented in an integrated simulation platform, VENTOS, which is developed based on SUMO and OMNET++. The validity and eectiveness of our approach is shown by means of simulations, and dierent platooning setting are calibrated.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/93903b05e028224db97ab176332d0dc34a0294a7
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Citations in the corpus
- A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method (2017, background): “…maximized in the far future when all vehicles are platooned CAVs, as predicted by a number of studies on pure automated traffic with computer simulation ( Ioannou and Chien, 1993 ) and analytical models ( Kanaris et al., 1997; Swaroop et al., 1994; Fernandes and Nunes, 2012; Amoozadeh et al., 2015 ).”
- Security vulnerabilities of connected vehicle streams and their impact on cooperative driving (2015, background): “In particular, we present simulation results on the impact of application and network layer attacks by a malicious insider on the performance of a CACC vehicle stream.”