On The Transfer Time Complexity of Cooperative Vehicle Routing

Motivated by next-generation air transportation systems, this paper investigates the relationship between traffic volume and congestion in a multi-agent system, assuming that the agents can communicate their intentions with one another. In particular, we consider n independent mobile agents, each as...

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Bibliographic Details
Main Authors: Spieser, Kevin (Contributor), Dimarogonas, Dimos V. (Contributor), Frazzoli, Emilio (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers / American Automatic Control Council, 2011-08-31T17:21:10Z.
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Online Access:Get fulltext
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100 1 0 |a Spieser, Kevin  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems  |e contributor 
100 1 0 |a Frazzoli, Emilio  |e contributor 
100 1 0 |a Spieser, Kevin  |e contributor 
100 1 0 |a Dimarogonas, Dimos V.  |e contributor 
100 1 0 |a Frazzoli, Emilio  |e contributor 
700 1 0 |a Dimarogonas, Dimos V.  |e author 
700 1 0 |a Frazzoli, Emilio  |e author 
245 0 0 |a On The Transfer Time Complexity of Cooperative Vehicle Routing 
260 |b Institute of Electrical and Electronics Engineers / American Automatic Control Council,   |c 2011-08-31T17:21:10Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/65572 
520 |a Motivated by next-generation air transportation systems, this paper investigates the relationship between traffic volume and congestion in a multi-agent system, assuming that the agents can communicate their intentions with one another. In particular, we consider n independent mobile agents, each assigned an origin and a destination point, and study how the minimum time necessary to safely transfer all agents from their origin to their destination scales with the number of agents n. We provide an algorithm for which the transfer time scales logarithmically in n. This is an improvement over previous results that rely on more conservative conflict models because the agents do not leverage inter-agent cooperation to the same degree, resulting in transfer times that scale as √n [square root of n]. 
520 |a United States. National Aeronautics and Space Administration. (Grant NNX08AY52A) 
546 |a en_US 
655 7 |a Article 
773 |t American Control Conference (ACC) 2010