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Analytical Modelling of Internet of Vehicles (IoV) by IoT Cloud for Dipping Traffic Congestion and Safety Alert: A Review

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Advances in Computational Intelligence, Security and Internet of Things (ICCISIoT 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1192))

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Abstract

In this era of technology, the main causes of accidents among motorized vehicles are the sudden slowdown of traffic in highways and hilly areas are characterized by failure of signals, poor law enforcement, and bad traffic management. As a result, it’s lead to more traffic congestion which becomes a major issue for governments, scientists and Vehicle manufacturers. Road safety through vehicle control is the primary interest of the Intelligent Transport System (ITS) studies. Such problems can typically be mitigated by installing on highways that associate with defined traffic sensors the mobile app of drivers through latest communication network, but needless to say, however, not all streets are fitted with such types of equipment in hilly regions. Unfortunately, such accidents occur usually on the road, causing serious injury and death, infrastructure damage. In this regard, vehicular communication is being altered into a new thought named as Internet of Vehicles (IoV). Therefore, Internet of Things (IoT) concept is used to reduce human loss, to avoid or prevent traffic accidents at an extreme level and rather for road safety for an IoV system.

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References

  1. Singh, S.K.: Road traffic accidents in India: issues and challenges. Transp. Res. Procedia 25, 4708–4719 (2017). Science direct

    Article  Google Scholar 

  2. Darwish, T., Abu Bakar, K.: Traffic density estimation in vehicular ad hoc networks: a review. Ad Hoc Netw. 4, 337–351 (2016). https://doi.org/10.10007/1234567890

    Article  Google Scholar 

  3. Zhu, Z., Loo, J., Chen, Y., Chai, K.K., Zhang, T.: Recent advances in connected vehicles via information-centric networking. In: IET International Conference on Intelligent and Connected Vehicles (ICV 2016), Chongqing, pp. 1–8 (2016)

    Google Scholar 

  4. Hirose, K., Ishibashi, K., Yamao, Y., Hirayama, Y., Sawada, M.: Low-power V2M communication system with fast network association capability. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, pp. 204–209 (2015)

    Google Scholar 

  5. Djajadi, A., Putra, R.J.: Inter-cars safety communication system based on Android smartphone. In: 2014 IEEE Conference on Open Systems (ICOS), Subang, pp. 12–17 (2014)

    Google Scholar 

  6. Celesti, A., Galletta, A., Carnevale, L.: An IoT cloud system for traffic monitoring and vehicular accidents prevention based on mobile sensor data processing. IEEE Sens. J. 18(12), 4795–4802 (2018)

    Article  Google Scholar 

  7. Guerrero-ibanez, J.A., Zeadally, S., Contreras-Castillo, J.: Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies. IEEE Wirel. Commun. 22, 122–128 (2015)

    Article  Google Scholar 

  8. Lin, F., Huang, Q., Tan, Q.: Distributed storage video cloud of intelligent transportation system based on the backward cloud generator. Adv. Transp. Stud. 2, 15–22 (2015)

    Google Scholar 

  9. Abhale, A., Khandelwal, S.: Intelligence transportation service using vehicular cloud network. In: 2016 IEEE International Conference on Advances in Electronics, Communication and Computer Technology, ICAECCT 2016, pp. 277–282 (2017)

    Google Scholar 

  10. Thakur, A., Malekian, R.: Internet of vehicles communication technologies for traffic management and road safety applications. Wirel. Pers. Commun. 109(1), 31–49 (2019). https://doi.org/10.1007/s11277-019-06548-y. LLC, part of Springer Nature, Springer Science Business Media

    Article  Google Scholar 

  11. Barrachina, J., Sanguesa, J., Fogue, M., Garrido, P., Martinez, F., Cano, J.: V2Xd: a vehicular density estimation system that combines V2V and V2I communications. In: 2013 IFIP Wireless Days (WD) (2013)

    Google Scholar 

  12. Eze, E.C., Zhang, S.J., Liu, E.J., Eze, J.C.: Advances in vehicular ad-hoc networks (VANETs): challenges and road-map for future development. Int. J. Autom. Comput. 13(1), 1–18 (2016)

    Article  Google Scholar 

  13. Thakur, A., Malekian, R., Bogatinoska, D.C.: Internet of Things based solutions for road safety and traffic management in intelligent transportation systems. In: Trajanov, D., Bakeva, V. (eds.) ICT Innovations 2017. CCIS, vol. 778, pp. 47–56. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67597-8_5

    Chapter  Google Scholar 

  14. Du, Z., HomChaudhuri, B., Pisu, P.: Coordination strategy for vehicles passing multiple signalized intersections: a connected vehicle penetration rate study. In: 2017 American control conference (ACC) (2017)

    Google Scholar 

  15. Celesti, A., Mulfari, D., Fazio, M., Villari, M., Puliafito, A.: Exploring container virtualization in iot clouds. In: 2016 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 1–6, May 2016

    Google Scholar 

  16. Cheng, J.J., Cheng, J.L., Zhou, M.C., Liu, F.Q., Gao, S.C., Liu, C.: Routing in internet of vehicles: a review. IEEE Trans. Intell. Transp. Syst. 16(5), 2339–2352 (2015)

    Article  Google Scholar 

  17. Golestan, K., Soua, R., Karray, F., Kamel, M.: Situation awareness within the context of connected cars: a comprehensive review and recent trends. Inf. Fusion 29, 6–83 (2016)

    Article  Google Scholar 

  18. Hirose, K., Ishibashi, K., Yamao, Y., Hirayama, Y., Sawada, M.: Low-power V2M communication system with fast network association capability. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, pp. 204–209 (2015)

    Google Scholar 

  19. Hannan, M., Habib, S., Javadi, M., Samad, S., Muad, A., Hussain, A.: Inter-vehicle wireless communications technologies, issues and challenges. Inf. Technol. J. 12(4), 558–568 (2013)

    Article  Google Scholar 

  20. Thakur, A., Malekian, R., Bogatinoska, D.C.: Internet of things based solutions for road safety and traffic management in intelligent transportation systems. In: Trajanov, D., Bakeva, V. (eds.) ICT Innovations 2017. CCIS, vol. 778, pp. 47–56. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67597-8_5

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Computer Science and Engineering Department, National Institute of Technology Agartala, Agartala, India

    Sanjib Debnath & Ashim Saha

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  1. Sanjib Debnath
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  2. Ashim Saha
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Correspondence to Sanjib Debnath .

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Editors and Affiliations

  1. National Institute of Technology Agartala, Agartala, India

    Ashim Saha

  2. National Institute of Technology Agartala, Agartala, India

    Nirmalya Kar

  3. National Institute of Technology Agartala, Agartala, India

    Suman Deb

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Debnath, S., Saha, A. (2020). Analytical Modelling of Internet of Vehicles (IoV) by IoT Cloud for Dipping Traffic Congestion and Safety Alert: A Review. In: Saha, A., Kar, N., Deb, S. (eds) Advances in Computational Intelligence, Security and Internet of Things. ICCISIoT 2019. Communications in Computer and Information Science, vol 1192. Springer, Singapore. https://doi.org/10.1007/978-981-15-3666-3_35

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  • DOI: https://doi.org/10.1007/978-981-15-3666-3_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3665-6

  • Online ISBN: 978-981-15-3666-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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