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

Muhammad Mazhar Ullah Rathore*, Syed Attique Shah*, Ahmed Awad, Dhirendra Shukla, Shanmuganathan Vimal, Anand Paul*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    20 Citations (SciVal)


    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.
    Original languageEnglish
    Article number7606
    Issue number14
    Publication statusPublished (VoR) - 21 Jul 2021


    • Big data
    • Cyber-physical system
    • Smart city
    • Smart transportation
    • Stream analysis


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