DocumentCode :
1894702
Title :
Agent-based control for adaptive high performance connected vehicle streams
Author :
Abbas, Muhammad Muddassir ; Mladenovic, Milos N.
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
947
Lastpage :
948
Abstract :
Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows equipped vehicles to travel with much shorter headways on freeways, increasing freeway capacity and reducing fuel consumption. The technology, augmented by the capabilities made available through the connected vehicles framework, has opened the door for many significant developments in traffic management and control applications. In this paper, we present a novel multi-agent system approach to resolve conflicts based on a token-based dynamic priority index (PI) concept. Experimental results showed the ability of agents to adapt and form high performance streams in a connected vehicle environment as an emerging behavior.
Keywords :
adaptive control; multi-agent systems; traffic control; CACC; adaptive high performance connected vehicle streams; agent based control; connected vehicles framework; cooperative adaptive cruise control; freeway capacity; fuel consumption; multi-agent system; token based dynamic priority index; traffic control; traffic management; Fuels; Indexes; Mobile robots; Multi-agent systems; Traffic control; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799936
Filename :
6799936
Link To Document :
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