Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/1326
Title: Multiplatooning Leaders Positioning and Cooperative Behavior Algorithms of Communicant Automated Vehicles for High Traffic Capacity
Authors: Fernandes, Pedro
Nunes, Urbano
Keywords: Advanced traffic management system (ATMS)
cooperative automated vehicles (CAVs)
cooperative behavior
high traffic capacity
intervehicle communications (IVC)
multiplatooning leaders positioning
personal rapid transit (PRT)
platoon leaders’ constant spacing
platooning
safety improvement
traffic simulation
Issue Date: 1-Jun-2015
Publisher: IEEE Transactions on Intelligent Transportation Systems
Citation: Fernandes, P., & Nunes, U. (2015). Multiplatooning Leaders Positioning and Cooperative Behavior Algorithms of Communicant Automated Vehicles for High Traffic Capacity. IEEE Transactions on Intelligent Transportation Systems, 16 (3), 1172-1187. Disponível no Repositório UPT, http://hdl.handle.net/11328/1326.
Abstract: Multiplatooning leaders positioning and cooperative behavior strategies are proposed in this paper, to improve the efficiency of a traffic system of communicant automated vehicles evolving on dedicated lanes. Novel algorithms to ensure high traffic capacity are presented and MATLAB/Simulink-based simulation results are reported. In previous research work, we proposed new algorithms to mitigate communication delays effects on platoon string stability using anticipatory information. In this paper we consider constant spacing between platoons' leaders as a fundamental condition to attain high traffic capacity. New algorithms to maintain interplatoon leaders' constant spacing are proposed, as well as novel algorithms allowing vehicles to enter the main track cooperatively. Furthermore, a new set of algorithms to improve safety is also presented. A novel agent-based architecture was developed, in which each vehicle consists of two distinct modules, a leader and a follower. Based on MATLAB/Simulink simulations of several scenarios, the new algorithms are assessed and the simulation results presented, confirming that the proposed algorithms ensure high traffic capacity and vehicle density and avoid traffic congestion. These features were validated through simulations performed on the Simulation for Urban Mobility simulation platform, using a new car-following model implementation [10]. The results proved that the proposed algorithms enable a clear benefit of a platooning system, when compared with bus- and light-rail-based transit systems.
URI: http://hdl.handle.net/11328/1326
ISSN: 1524-9050
Appears in Collections:REMIT – Artigos em Revistas Internacionais / Papers in International Journals

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