Abstract
Current study results on Machine Learning - Artificial Intelligence have been published. According to news reporting originating from Salamanca, Spain, by NewsRx correspondents, research stated, “Traffic optimization systems require optimization procedures to optimize traffic light timing settings in order to improve pedestrian and vehicle mobility. Traffic simulators allow obtaining accurate estimates of traffic behavior by applying different timing configurations, but require considerable computational time to perform validation tests.” Funders for this research include Spanish Agencia Estatal de Investigacion. Project Monitoring and tracking systems for the improvement of intelligent mobility and behavior analysis (SiMoMIAC), Spanish Ministry of Universities (FPU Fellowship). Our news editors obtained a quote from the research from the University of Salamanca, “For this reason, this project proposes the development of traffic optimizations based on the estimation of vehicle waiting times through the use of different prediction techniques and the use of this estimation to subsequently apply evolutionary algorithms that allow the optimizations to be carried out. The combination of these two techniques leads to a considerable reduction in calculation time, which makes it possible to apply this system at runtime.”
NETL
NSTL
Univ Int Rioja-Unir