Literature Database Entry

mariano2015solution


A. Mariano de Souza and L. Aparecido Villas, "A new Solution based on Inter-Vehicle Communication to Reduce Traffic jam in Highway Environment," IEEE Latin America Transactions (Revista IEEE America Latina), vol. 13 (3), pp. 721-726, March 2015.

Abstract

Traffic congestion is an urban mobility problem, which generates stress to drivers and economic losses. In 2012, greenhouse gas emissions from transportation accounted for about 28\% of total U.S. greenhouse gas emissions. Intelligent transportation systems can assist in the identification and reduction of vehicular traffic congestion. In this context, this work proposes an intelligent traffic information system based on inter-vehicle communication to avoid vehicle traffic congestion. The main goal of the proposed solution is to decrease CO2 emissions, the average trip time and fuel consumption by avoiding congested roads. Simulation results show that our proposed solution can reduce the average trip time, and the overall CO2 emission and fuel consumption. In particular, the trip time was decreased approximately 86\%, the fuel consumption 40\% and the CO2 emission 55\%. This shows the potential of the proposed solution.

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A. Mariano de Souza
L. Aparecido Villas

BibTeX reference

@article{mariano2015solution,
    author = {Mariano de Souza, A. and Aparecido Villas, L.},
    title = {{A new Solution based on Inter-Vehicle Communication to Reduce Traffic jam in Highway Environment}},
    journal = {IEEE Latin America Transactions (Revista IEEE America Latina)},
    pages = {721-726},
    volume = {13},
    number = {3},
    keywords = {intelligent transportation systems;road traffic;road vehicles;telecommunication computing;traffic information systems;vehicular ad hoc networks;United States greenhouse gas emissions;average trip time reduction;fuel consumption reduction;highway traffic jam reduction;intelligent traffic information system;intelligent transportation systems;intervehicle communication;overall CO2 emission reduction;urban mobility problem;vehicular traffic congestion identification;vehicular traffic congestion reduction;Ad hoc networks;Fuels;Gases;Global warming;Roads;Vehicles;Redes Veiculares;Sistemas de Transportes Inteligentes},
    year = {2015},
    month = {March},
    publisher = {IEEE},
    issn = {1548-0992},
    doi = {10.1109/TLA.2015.7069097},
   }
   
   

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