01713nas a2200265   4500000000100000000000100001008004100002260001200043653002700055653002300082653002500105653002200130100002200152700002200174700002900196700002700225700002100252700001600273245007700289856008300366300000800449490001300457520096300470022001401433       9998                            d  c12/202310aEvolutionary Algorithm10aPrediction Systems10aTraffic Optimization10aTraffic Simulator1 aFrancisco García1 aHelena Hernández1 aMaría N. Moreno-García1 aJuan F. de Paz Santana1 aVivian F. López1 aJavier Bajo00aTraffic Optimization Through Waiting Prediction and Evolutive Algorithms  uhttps://www.ijimai.org/journal/sites/default/files/2023-12/ip2023_12_001_0.pdf  a1-80 vIn press3 aTraffic 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. 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. The tests have been carried out on a real traffic junction on which different traffic volumes have been applied to analyze the performance of the system.  a1989-1660