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Fog Computing Approach for Shared Mobility in Smart Cities

Author

Listed:
  • Raafat Aburukba

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • A. R. Al-Ali

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Ahmed H. Riaz

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Ahmad Al Nabulsi

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Danayal Khan

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Shavaiz Khan

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

  • Moustafa Amer

    (Department of Computer Science and Engineering, American University of Sharjah, Sharjah 26666, United Arab Emirates)

Abstract

Smart transportation a smart city application where traditional individual models are transforming to shared and distributed ownership. These models are used to serve commuters for inter- and intra-city travel. However, short-range urban transportation services within campuses, residential compounds, and public parks are not explored to their full capacity compared to the distributed vehicle model. This paper aims to explore and design an adequate framework for battery-operated shared mobility within a large community for short-range travel. This work identifies the characteristics of the shared mobility for battery-operated vehicles and accordingly proposes an adequate solution that deals with real-time data collection, tracking, and automated decisions. Furthermore, given the requirement for real-time decisions with low latency for critical requests, the paper deploys the proposed framework within the 3-tier computing model, namely edge, fog, and cloud tiers. The solution design considers the power consumption requirement at the edge by offloading the computational requests to the fog tier and utilizing the LoRaWAN communication technology. A prototype implementation is presented to validate the proposed framework for a university campus using e-bikes. The results show the scalability of the proposed design and the achievement of low latency for requests that require real-time decisions.

Suggested Citation

  • Raafat Aburukba & A. R. Al-Ali & Ahmed H. Riaz & Ahmad Al Nabulsi & Danayal Khan & Shavaiz Khan & Moustafa Amer, 2021. "Fog Computing Approach for Shared Mobility in Smart Cities," Energies, MDPI, vol. 14(23), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8174-:d:695962
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    References listed on IDEAS

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    1. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    2. Li, Haojie & Zhang, Yingheng & Ding, Hongliang & Ren, Gang, 2019. "Effects of dockless bike-sharing systems on the usage of the London Cycle Hire," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 398-411.
    3. Sun, Lishan & Wang, Shunchao & Liu, Shuli & Yao, Liya & Luo, Wei & Shukla, Ashish, 2018. "A completive research on the feasibility and adaptation of shared transportation in mega-cities – A case study in Beijing," Applied Energy, Elsevier, vol. 230(C), pages 1014-1033.
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    Cited by:

    1. Fatema Elwy & Raafat Aburukba & A. R. Al-Ali & Ahmad Al Nabulsi & Alaa Tarek & Ameen Ayub & Mariam Elsayeh, 2023. "Data-Driven Safe Deliveries: The Synergy of IoT and Machine Learning in Shared Mobility," Future Internet, MDPI, vol. 15(10), pages 1-18, October.
    2. Monika Wawer & Kalina Grzesiuk & Dorota Jegorow, 2022. "Smart Mobility in a Smart City in the Context of Generation Z Sustainability, Use of ICT, and Participation," Energies, MDPI, vol. 15(13), pages 1-30, June.

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