Open AccessCollaborative and Infrastructure-less Vehicular Traffic Rerouting for Intelligent Transportation Systems
Author(s) -
Ademar Takeo Akabane,
Edmundo Roberto Mauro Madeira,
Leandro A. Villas
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/sbrc_estendido.2020.12419
Subject(s) - intelligent transportation system , computer science , scalability , vehicular communication systems , advanced traffic management system , enhanced data rates for gsm evolution , traffic congestion , vehicular ad hoc network , transport engineering , work (physics) , order (exchange) , transportation infrastructure , engineering , telecommunications , wireless ad hoc network , business , database , mechanical engineering , finance , wireless
This extended abstract provides an at-a-glance view of the main contributions of my Ph.D. work. The work aims to investigate and develop cutting-edge an infrastructure-less vehicular traffic management system in order to minimize vehicular traffic congestion and advance the state-of-the-art in intelligent transportation systems. The proposed solutions were widely compared with other literature solutions on different performance evaluation metrics. The evaluation results show that the proposed vehicle traffic management system is efficient, scalable, and cost-effective, which may be a good alternative to mitigate urban mobility problems.