IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i14p7606-d590274.html
   My bibliography  Save this article

A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities

Author

Listed:
  • Muhammad Mazhar Rathore

    (Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar)

  • Syed Attique Shah

    (Data Systems Group, Institute of Computer Science, University of Tartu, 51005 Tartu, Estonia)

  • Ahmed Awad

    (Data Systems Group, Institute of Computer Science, University of Tartu, 51005 Tartu, Estonia
    Faculty of Computers and Artificial Intelligence, Cairo University, Giza 12613, Egypt)

  • Dhirendra Shukla

    (J Herbert Smith Centre, University of New Brunswick, Fredericton, NB E3B, Canada)

  • Shanmuganathan Vimal

    (Computer Science and Engineering Department, Ramco Institute of Technology, Rajapalayam 626117, India)

  • Anand Paul

    (School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea)

Abstract

In the last decade, technological advancements in the cyber-physical system have set the basis for real-time and context-aware services to ease human lives. The citizens, especially travelers, want to experience a safe, healthy, and timely journey to their destination. Smart and on-ground real-time traffic analysis helps authorities further improve decision-making to ensure safe and convenient traveling. In this paper, we proposed a transport-control model that exploits cyber-physical systems (CPS) and sensor-technology to continuously monitor and mine the big city data for smart decision-making. The system makes use of travel-time, traffic intensity, vehicle’s speed, and current road conditions to construct a weighted city graph representing the road network. Traditional graph algorithms with efficient implementation technologies are employed to respond to commuters’ and authorities’ needs in order to achieve a smart and optimum transportation system. To efficiently process the incoming big data streams, the proposed architecture uses the Apache GraphX tool with several parallel processing nodes, along with Spark and Hadoop that ultimately provide better performance against various state-of-the-art solutions. The system is thoroughly evaluated in terms of system throughput and processing time, revealing that the proposed system is efficient, robust, and scalable.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7606-:d:590274
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/14/7606/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/14/7606/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Anastasia Stratigea & Chrysaida-Aliki Papadopoulou & Maria Panagiotopoulou, 2015. "Tools and Technologies for Planning the Development of Smart Cities," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(2), pages 43-62, April.
    Full references (including those not matched with items on IDEAS)

    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. Lill Sarv & Ralf-Martin Soe, 2021. "Transition towards Smart City: The Case of Tallinn," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    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. Diogo Correia & Leonor Teixeira & João Lourenço Marques, 2021. "Reviewing the State-of-the-Art of Smart Cities in Portugal: Evidence Based on Content Analysis of a Portuguese Magazine," Publications, MDPI, vol. 9(4), pages 1-30, October.
    4. Ammar Al-lami & Adam Torok, 2023. "Sustainability Indicators of Surface Public Transportation," Sustainability, MDPI, vol. 15(21), pages 1-15, October.
    5. 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.
    6. van den Buuse, Daniel & Kolk, Ans, 2019. "An exploration of smart city approaches by international ICT firms," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 220-234.
    7. 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.
    8. 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.
    9. Caragliu, Andrea & Del Bo, Chiara F., 2019. "Smart innovative cities: The impact of Smart City policies on urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 373-383.
    10. 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.
    11. Huaxiong Jiang & Stan Geertman & Patrick Witte, 2020. "Avoiding the planning support system pitfalls? What smart governance can learn from the planning support system implementation gap," Environment and Planning B, , vol. 47(8), pages 1343-1360, October.
    12. 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.
    13. Nimesha Sahani Jayasena & Daniel W. M. Chan & Mohan M. Kumaraswamy, 2022. "Is Public–Private Partnership (PPP) a Preferred Strategy for Procuring Smart Infrastructure in Developed Countries: An Empirical Study of the Perceived Benefits, Barriers and Recommended Strategies," Sustainability, MDPI, vol. 14(11), pages 1-25, May.
    14. Marcos Lima, 2020. "Smarter organizations: insights from a smart city hybrid framework," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1281-1300, December.
    15. Haozhi Pan & Si Chen & Yizhao Gao & Brian Deal & Jinfang Liu, 2020. "An urban informatics approach to understanding residential mobility in Metro Chicago," Environment and Planning B, , vol. 47(8), pages 1456-1473, October.
    16. Edvins Karnitis & Janis Bicevskis & Girts Karnitis & Maris Pukis, 2021. "Sustainable Development Model of EU Cities Compliant with UN Settings," Mathematics, MDPI, vol. 9(22), pages 1-18, November.
    17. 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.
    18. Aravindi Samarakkody & Dilanthi Amaratunga & Richard Haigh, 2023. "Technological Innovations for Enhancing Disaster Resilience in Smart Cities: A Comprehensive Urban Scholar’s Analysis," Sustainability, MDPI, vol. 15(15), pages 1-22, August.
    19. Matthew Cook & Andrew Karvonen, 2024. "Urban planning and the knowledge politics of the smart city," Urban Studies, Urban Studies Journal Limited, vol. 61(2), pages 370-382, February.
    20. Barbara Ester Adele Piga & Gabriele Stancato & Nicola Rainisio & Marco Boffi, 2021. "How Do Nature-Based Solutions’ Color Tones Influence People’s Emotional Reaction? An Assessment via Virtual and Augmented Reality in a Participatory Process," Sustainability, MDPI, vol. 13(23), pages 1-25, December.

    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:13:y:2021:i:14:p:7606-:d:590274. 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.