Latest revision as of 19:41, 1 February 2021

Abstract

The efficiency of a city’s own transportation system heavily influences its economic growth due to the increasing need to transport labour force, consumers and cargo. The use of the latest technologies to solve traffic problems is the main theme of ITS “Intelligent transportation system”, several solutions are already in use in many cities around the world and it is an indispensable part of the smart cities project. Our research focuses on developing a solution to manage road traffic in a smart city environment by utilizing wireless sensor network as medium to surveille the traffic. In this paper, we propose a set of countermeasures to avoid congestion and improve the flow of the traffic. The proposed countermeasures were simulated, and the results showed that our plan reduced the traffic congestion, minimized gases emission and increased fuel usage efficiency.

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The different versions of the original document can be found in:

• https://www.matec-conferences.org/10.1051/matecconf/201820000024/pdf under the license https://creativecommons.org/licenses/by

• https://www.matec-conferences.org/articles/matecconf/pdf/2018/59/matecconf_iwtsce2018_00024.pdf under the license cc-by

• http://xplorestaging.ieee.org/ielx7/8575702/8596320/08596636.pdf?arnumber=8596636,

http://dx.doi.org/10.1109/cist.2018.8596636 under the license cc-by

• https://dblp.uni-trier.de/db/conf/cist/cist2018.html#ElmriniA18,

https://academic.microsoft.com/#/detail/2891706477

• https://doi.org/10.1051/matecconf/201820000024,

https://doaj.org/toc/2261-236X

• https://www.matec-conferences.org/10.1051/matecconf/201820000024/pdf,

http://dx.doi.org/10.1051/matecconf/201820000024

• https://www.matec-conferences.org/10.1051/matecconf/201820000024/pdf,

https://academic.microsoft.com/#/detail/2913649265 under the license http://creativecommons.org/licenses/by/4.0

DOIS: 10.1051/matecconf/201820000024 10.1109/cist.2018.8596636