RT Journal Article
T1 Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios.
A1 Ferrer-Urbano, Francisco Javier
A1 García-Nieto, José Manuel
A1 Alba-Torres, Enrique
A1 Chicano-García, José-Francisco
K1 Tráfico - Regulación
K1 Optimización matemática
AB In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovativefront for traffic flow management. However, this automatic programming of traffic lights requires a validation process of thegenerated solutions, since they can affect the mobility (and security) of millions of citizens. In this paper, we propose a validationstrategy based on genetic algorithms and feature models for the automatic generation of different traffic scenarios checking therobustness of traffic light cycle programs.We have concentrated on an extensive urban area in the city ofMalaga (in Spain), in whichwe validate a set of candidate cycle programs generated bymeans of four optimization algorithms: Particle SwarmOptimization forTraffic Lights, Differential Evolution for Traffic Lights, random search, and Sumo Cycle Program Generator.We can test the cyclesof traffic lights considering the different states of the city, weather, congestion, driver expertise, vehicle’s features, and so forth, butprioritizing the most relevant scenarios among a large and varied set of them. The improvement achieved in solution quality isremarkable, especially for CO2 emissions, in which we have obtained a reduction of 126.99% compared with the experts’ solutions.
PB Wiley
YR 2016
FD 2016-02-08
LK https://hdl.handle.net/10630/32102
UL https://hdl.handle.net/10630/32102
LA eng
NO Ferrer, Javier, García-Nieto, José, Alba, Enrique, Chicano, Francisco, Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios, Mathematical Problems in Engineering, 2016, 3871046, 19 pages, 2016. https://doi.org/10.1155/2016/3871046
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 23 ene 2026