RT book part
T1 Optimization of Traffic Light Controllers Using Genetic Algorithms: A Case Study in the City of Cádiz
A1 Balderas Díaz, Sara
A1 Muñoz Ortega, Andrés
A1 Guerrero Contreras, Gabriel José
A2 Ingeniería Informática
K1 Genetic Algorithms
K1 Traffic Light Controllers
K1 Optimization
K1 SUMO
AB Traffic congestion is a significant problem in many cities, leading to delays, increased fuel consumption, and environmental pollution. In recent years, optimization algorithms have been used to improve traffic control systems and reduce congestion. This paper proposes an optimization algorithm based on genetic algorithms to optimize traffic signal controllers in Cádiz, Spain, using the Simulation of Urban MObility (SUMO) traffic simulator. The proposed optimization algorithm is a promising solution for the optimization of traffic control systems, which can lead to more efficient traffic flow, reduced congestion, and improved environmental conditions.
PB Springer, Cham
SN 978-3-031-43461-7
YR 2023
FD 2023-09-26
LK http://hdl.handle.net/10498/34127
UL http://hdl.handle.net/10498/34127
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 09-nov-2026