An Adaptive and Distributed Traffic Management System for Vehicular ad-hoc Networks

  • Thiago S. Gomides UFSJ
  • Daniel L. Guidoni UFSJ

Resumo


The economic and environmental impacts caused by traffic congestion have become a cause for concern in urban centers. Improvements in the city's road infrastructure for minimizing these impacts are expensive and take time to be executed. In this scenario, Traffic Management Systems (TMSs) emerge as efficient and technological alternatives to tackle vehicular traffic issues. This work proposes a TMS based on vehicular communication to improve vehicular traffic flow in dense urban centers. The proposed work aims to study the following TMS issues: (i) how to estimate traffic jams; (ii) propose proactive and reactive information sharing protocols; (iii) propose an adaptive traffic sharing information that has less impact on the network with more information available and (iv) real-time and periodical new route estimation. The performance evaluation shows our solutions' ability to minimize traffic jams and improve mobility, with a low communication overhead compared to state-of-the-art solutions.

Referências

Brennand, C. A. R. L., Filho, G. P. R., Maia, G., Cunha, F., Guidoni, D. L., and Villas, L. A. (2019). Towards a fog-enabled intelligent transportation system to reduce traffic jam. Sensors, 19(18).

Cookson, G. and Pishue, B. (2020). Inrix global traffic scorecard. INRIX research. Accessed: 2020-12-21.

de Souza, A. M., da Fonseca, N. L. S., and Villas, L. A. (2017). A fully-distributed advanced traffic management system based on opportunistic content sharing. 2017 IEEE International Conference on Communications (ICC), pages 1–6.

Ekblad, S. (1993). Stressful environments and their effects on quality ot life in third world cities. Environment and Urbanization, 5(2):125–134.

Madlener, R. and Sunak, Y. (2011). Impacts of urbanization on urban structures and energy demand: What can we learn for urban energy planning and urbanization management? Sustainable Cities and Society, 1(1):45–53.

Pan, J., Popa, I. S., and Borcea, C. (2017). Divert: A distributed vehicular traffic re-routing system for congestion avoidance. IEEE Transactions on Mobile Computing, 16(1):58–72.

Wang, S., Djahel, S., Zhang, Z., and Mcmanis, J. (2016). Next road rerouting: A multiagent system for mitigating unexpected urban traffic congestion. IEEE Transactions on Intelligent Transportation Systems, 17:1–12.

Zhou, H., Xu, W., Chen, J., and Wang, W. (2020). Evolutionary v2x technologies toward the internet of vehicles: Challenges and opportunities. Proceedings of the IEEE.
Publicado
16/08/2021
Como Citar

Selecione um Formato
GOMIDES, Thiago S.; GUIDONI, Daniel L.. An Adaptive and Distributed Traffic Management System for Vehicular ad-hoc Networks. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE REDES DE COMPUTADORES E SISTEMAS DISTRIBUÍDOS (SBRC), 39. , 2021, Uberlândia. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 97-104. ISSN 2177-9384. DOI: https://doi.org/10.5753/sbrc_estendido.2021.17159.