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Sustainability 2017, 9(7), 1120; doi:10.3390/su9071120

Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities

Department of Computer Science and Engineering, Kyungpook National University, Daegu 702701, Korea
School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 702701, Korea
Authors to whom correspondence should be addressed.
Received: 30 April 2017 / Revised: 16 June 2017 / Accepted: 26 June 2017 / Published: 28 June 2017
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In recent works on the Internet of Vehicles (IoV), “intelligent” and “sustainable” have been the buzzwords in the context of transportation. Maintaining sustainability in IoV is always a challenge. Sustainability in IoV can be achieved not only by the use of pollution-free vehicular systems, but also by maintenance of road traffic safety or prevention of accidents or collisions. With the aim of establishing an effective sustainable transportation planning system, this study performs a short analysis of existing sustainable transportation methods in the IoV. This study also analyzes various characteristics of sustainability and the advantages and disadvantages of existing transportation systems. Toward the end, this study provides a clear suggestion for effective sustainable transportation planning aimed at the maintenance of an eco-friendly environment and road traffic safety, which, in turn, would lead to a sustainable transportation system. View Full-Text
Keywords: intelligent transportation system; sustainable transportation; IoV intelligent transportation system; sustainable transportation; IoV

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Balasubramaniam, A.; Paul, A.; Hong, W.-H.; Seo, H.; Kim, J.H. Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities. Sustainability 2017, 9, 1120.

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