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Route Assignment for Autonomous Vehicles

  • Nick MoranEmail author
  • Jordan Pollack
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9882)

Abstract

We demonstrate a self-organizing, multi-agent system to generate approximate solutions to the route assignment problem for a large number of vehicles across many origins and destinations. Our algorithm produces a set of mixed strategies over the set of paths through the network, which are suitable for use by autonomous vehicles in the absence of centralized control or coordination. Our approach combines ideas from co-evolutionary dynamics in which many species coordinate and compete for efficient navigation, and ideas from swarm intelligence in which many simple agents self-organize into successful behavior using limited inter-agent communication. Experiments demonstrate a marked improvement of both individual and total travel times as compared to greedy uncoordinated strategies, and we analyze the differences in outcomes for various routes as the simulation progresses.

Keywords

Swarm intelligence Vehicle routing Autonomous vehicles Multi-agent systems Co-evolution Coordination games 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Brandeis UniversityWalthamUSA

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