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

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.

Asymmetric "partners": work and health of app drivers in Rio de Janeiro, Brazil.

This paper is the product of an ongoing research's preliminary results with app drivers and aims to discuss how the game of forces has occurred in the relationships established between companies, workers, regulatory bodies, and society. This exploratory qualitative study employed document analysis, a questionnaire, and semi-structured interviews with drivers linked to associations in Rio de Janeiro (RJ), Brazil. The analysis was conducted from a tripolar perspective based on the theoretical-methodological framework of Ergology and social life's micro and macroscopic spaces, encompassing the poles referring to human activity, the market, and politics.