Traffic light optimization using non-dominated sorting genetic algorithm (NSGA2).

ABSTRACT: Traffic congestion is a major concern in urban centers, as it can affect society, the environment, and the economy. There are many studies on the use of computational intelligence (CI) to improve mobility in urban centers. Some of these researches focus on developing strategies for traffic light programming, since traffic coordination is complex due to its many parameters, variables, and dynamic behavior, and also an inefficient traffic control plan can lead to increased delays and contribute to traffic congestion. Although there are many works in the literature on strategies for traffic control, there are still some contributions and gaps to be filled, especially because some studies do not consider the automatic optimization of traffic signals in real time, that is, according to the dema

SUBMITTER: Leal SS 

PROVIDER: S-EPMC10511403 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature