Decentralised car traffic control using message propagation optimized with a genetic algorithm

—This paper describes a decentralised car traffic control simulation with re-routing and propagation of messages among traffic nodes (roads intersections and traffic lights). The values of the parameters governing the simulations are identified through the use of a genetic algorithm. This paper reports as well on results obtained regarding the convergence of the genetic algorithm towards fittest solutions.

• Type: Conference
• Year: 2007
• Where: CEC
• Authors: Martin Kelly, Giovanna Di Marzo Serugendo
• Keywords: Artificial Intelligence, CEC 2007, Decentralised Car Traffic, Genetic Algorithm, Traffic Nodes