Real-time path planning to prevent traffic jam through an intelligent transportation system

Real-time path planning to prevent traffic jam through an intelligent transportation system

Allan M. de Souza, Roberto S. Yokoyama, Guilherme Maia, Antonio Loureiro, Leandro Villas

ARTIGO

Inglês

Agradecimentos: RNP - REDE NACIONAL DE ENSINO E PESQUISA

Congestion is a major problem in large cities. One of the main causes of congestion is the sudden increase of vehicle traffic during peak hours. Current solutions are based on perceiving road traffic conditions and re-routing vehicles to avoid the congest

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

2015/07538-1

Fechado

Real-time path planning to prevent traffic jam through an intelligent transportation system

Allan M. de Souza, Roberto S. Yokoyama, Guilherme Maia, Antonio Loureiro, Leandro Villas

										

Real-time path planning to prevent traffic jam through an intelligent transportation system

Allan M. de Souza, Roberto S. Yokoyama, Guilherme Maia, Antonio Loureiro, Leandro Villas

    Fontes

    Symposium on Computers and Communications

    (2016), p. 726-731