RT Journal Article
T1 Red Swarm: Smart Mobility in Cities with EAs
A1 Stolfi, Daniel H.
A1 Alba-Torres, Enrique
K1 Computación evolutiva
K1 Algoritmos genéticos
AB This work presents an original approach to regulate traffic by using an on-line system controlled by an EA. Our proposal uses computational spots with WiFi connectivity located at traffic lights (the Red Swarm), which are used to suggest alternative individual routes to vehicles. An evolutionary algorithm is also proposed in order to find a configuration for the Red Swarm spots which reduces the travel time of the vehicles and also prevents traffic jams. We solve real scenarios in the city of Malaga (Spain), thus enriching the OpenStreetMap info by adding traffic lights, sensors, routes and vehicle flows. The result is then imported into the SUMO traffic simulator to be used as a method for calculating the fitness of solutions. Our results are competitive compared to the common solutions from experts in terms of travel and stop time, and also with respect to other similar proposals but with the added value of solving a real, big instance.
PB ACM
YR 2013
FD 2013
LK http://hdl.handle.net/10630/5630
UL http://hdl.handle.net/10630/5630
LA eng
NO Proceedings of the Genetic and Evolutionary Computation Conference, 1373-1380
NO Ministerio de Economía y Competitividad y FEDER (TIN2011-28194)
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026