IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i7p1120-d102865.html
   My bibliography  Save this article

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

Author

Listed:
  • Anandkumar Balasubramaniam

    (Department of Computer Science and Engineering, Kyungpook National University, Daegu 702701, Korea)

  • Anand Paul

    (Department of Computer Science and Engineering, Kyungpook National University, Daegu 702701, Korea)

  • Won-Hwa Hong

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 702701, Korea)

  • HyunCheol Seo

    (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University, Daegu 702701, Korea)

  • Jeong Hong Kim

    (Department of Computer Science and Engineering, Kyungpook National University, Daegu 702701, Korea)

Abstract

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.

Suggested Citation

  • Anandkumar Balasubramaniam & Anand Paul & Won-Hwa Hong & HyunCheol Seo & Jeong Hong Kim, 2017. "Comparative Analysis of Intelligent Transportation Systems for Sustainable Environment in Smart Cities," Sustainability, MDPI, vol. 9(7), pages 1-12, June.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1120-:d:102865
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/7/1120/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/7/1120/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anand Paul & Seungmin Rho, 2016. "Probabilistic Model for M2M in IoT networking and communication," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 59-66, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aldona Jarašūnienė & Kristina Čižiūnienė & Artūras Petraška, 2022. "Sustainability Promotion by Digitalisation to Ensure the Quality of Less-Than-Truck Load Shipping," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    2. Zhong Wang & Rui Xu, 2022. "Price Controls and Platform Ecosystem: A Comparative Analysis of Parking Applications between Beijing and London," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    3. Muhammad Mazhar Rathore & Syed Attique Shah & Ahmed Awad & Dhirendra Shukla & Shanmuganathan Vimal & Anand Paul, 2021. "A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities," Sustainability, MDPI, vol. 13(14), pages 1-21, July.
    4. Mariusz Kostrzewski & Magdalena Marczewska & Lorna Uden, 2023. "The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance," Energies, MDPI, vol. 16(7), pages 1-20, April.
    5. Nadia Karina Gamboa-Rosales & José María Celaya-Padilla & Ana Luisa Hernandez-Gutierrez & Arturo Moreno-Baez & Carlos E. Galván-Tejada & Jorge I. Galván-Tejada & Edgar González-Fernández & Hamurabi Ga, 2020. "Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends," Sustainability, MDPI, vol. 12(21), pages 1-30, October.
    6. Jinhua Tan & Li Gong & Xuqian Qin, 2019. "Global Optimality under Internet of Vehicles: Strategy to Improve Traffic Safety and Reduce Energy Dissipation," Sustainability, MDPI, vol. 11(17), pages 1-16, August.
    7. Marzena Kramarz & Lilla Knop & Edyta Przybylska & Katarzyna Dohn, 2021. "Stakeholders of the Multimodal Freight Transport Ecosystem in Polish–Czech–Slovak Cross-Border Area," Energies, MDPI, vol. 14(8), pages 1-32, April.
    8. Malik Almaliki & Amna Bamaqa & Mahmoud Badawy & Tamer Ahmed Farrag & Hossam Magdy Balaha & Mostafa A. Elhosseini, 2025. "Adaptive Traffic Light Management for Mobility and Accessibility in Smart Cities," Sustainability, MDPI, vol. 17(14), pages 1-31, July.
    9. Wei Tang & Tiancai Zhou & Jian Sun & Yurui Li & Weipeng Li, 2017. "Accelerated Urban Expansion in Lhasa City and the Implications for Sustainable Development in a Plateau City," Sustainability, MDPI, vol. 9(9), pages 1-19, August.
    10. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    11. Dongli Chen & Qianxuan Huang, 2024. "The New Policy for Innovative Transformation in Regional Industrial Chains, the Conversion of New and Old Kinetic Energy, and Energy Poverty Alleviation," Energies, MDPI, vol. 17(11), pages 1-37, May.
    12. Ammar Al-lami & Adam Torok, 2023. "Sustainability Indicators of Surface Public Transportation," Sustainability, MDPI, vol. 15(21), pages 1-15, October.
    13. Nikoleta Mikušová & Gabriel Fedorko & Vieroslav Molnár & Martina Hlatká & Rudolf Kampf & Veronika Sirková, 2021. "Possibility of a Solution of the Sustainability of Transport and Mobility with the Application of Discrete Computer Simulation—A Case Study," Sustainability, MDPI, vol. 13(17), pages 1-24, September.
    14. Leonardo Guevara & Fernando Auat Cheein, 2020. "The Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems," Sustainability, MDPI, vol. 12(16), pages 1-15, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nematullo Rahmatov & Anand Paul & Faisal Saeed & Won-Hwa Hong & HyunCheol Seo & Jeonghong Kim, 2019. "Machine learning–based automated image processing for quality management in industrial Internet of Things," International Journal of Distributed Sensor Networks, , vol. 15(10), pages 15501477198, October.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1120-:d:102865. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.