Please use this identifier to cite or link to this item:
|Type:||Artigo de periódico|
|Title:||A Solution For Detection And Control For Congested Roads Using Vehicular Networks|
|Abstract:||Traffic congestion is an urban mobility problem, which generates stress to drivers as well as economic losses. Intelligent transportation systems can assist in the identification and reduction of vehicular traffic congestion. In this context, this work proposes a solution for the detection and control of congested roads based on inter-vehicle communication. 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 the proposed solution yields (i) a high acceptance rate in the classification of congestion levels., (ii) reduction in average trip time, (iii) reduction in fuel consumption, and (iv) reduced CO2 emissions. In particular, the trip time was decreased approximately 70%, the fuel consumption 46%, and the CO2 emission 58%. © 2016 IEEE.|
|Editor:||IEEE Computer Society|
|Citation:||Ieee Latin America Transactions. Ieee Computer Society, v. 14, p. 1849 - 1855, 2016.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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