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Stop-Free Strategies for Traffic Networks: Decentralized On-line Optimization

Mohamed Tlig 1 Olivier Buffet 1 Olivier Simonin 2 
1 MAIA - Autonomous intelligent machine
Inria Nancy - Grand Est, LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
2 DYNAMID - Dynamic Software and Distributed Systems
CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Traffic management in large networks remains an important chal- lenge in transportation systems. The best approach would be to use existing infrastructure and find a solution to manage the increasing flows of vehicles. Multi-agent systems and autonomous vehicles are today considered as a promising approach to deal with traffic con- trol. In this paper, we propose a two-level decentralized multi-agent system which allows autonomous vehicles crossing the network in- tersections without stopping. At the first level, we use a control agent at each intersection which (1) lets the vehicles from each road pass alternately, and (2) allows them to optimally regulate their speed in its vicinity. At the second level, each agent coordinates with its neighboring agents in order to optimize the flows inside the network. We evaluate this approach empirically, with a comparison with a more opportunistic First-Come First-Served strategy. Experimental results (in simulation) are presented (measuring energy consump- tion), showing the advantages and disadvantages of each approach.
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Contributor : Mohamed Tlig Connect in order to contact the contributor
Submitted on : Friday, May 30, 2014 - 4:10:34 PM
Last modification on : Saturday, June 25, 2022 - 7:41:32 PM


  • HAL Id : hal-00998143, version 1


Mohamed Tlig, Olivier Buffet, Olivier Simonin. Stop-Free Strategies for Traffic Networks: Decentralized On-line Optimization. ECAI 2014 - 21th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2014), Aug 2014, Prague, Czech Republic. ⟨hal-00998143⟩



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