A multi-objective swarm approach with pedestrians spotlight in traffic urban optimisation

ANA CAROLINA OLIVERA; PABLO JAVIER VIDAL

IEEE LATIN AMERICA TRANSACTIONS

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Lugar: New York; Año: 2022 vol. 20 p. 2363 - 2370

1548-0992

The way that people moves is changing. From a sustainability point of view is necessary to put the focus on pedestrians. To reduce pollution and congestion in urban areas, it is necessary moves people with not necessary moves vehicles. This work introduces a particle swarm multi-objective approach that optimizes vehicles and pedestrians’ traffic urban flow, considering the traffic lights timing. Traffic lights and their scheduling significantly impact vehicles and pedestrian flow in metropolitan cities. From the point of view of the scenario, a large-scale congested urban area is used to test the proposed methodology. The strategy is compared with five state-of-the-art algorithms with satisfactory results.