IoT Applications and Services for Connected and Autonomous Electric Vehicles

  • Binod VaidyaEmail author
  • Hussein T. Mouftah
Research Article - Special Issue - Intelligent Computing and Interdisciplinary Applications


Automotive/transportation sector is undergoing a phenomenal course of rapid, multifaceted change. This transformation is enabled by similar factors that are driving advancements in the Internet of Things including increased computing resources and ubiquitous connectivity. In near future, Connected and Autonomous Electric Vehicle (CAEV) will evolve in ways that will have a major impact on transportation infrastructure, automotive industries, as well as vehicle ownership. As the number of connected vehicles continues to grow, the conventional Vehicle Ad hoc Networks are now evolving as the Internet of Vehicle (IoV). The IoV may be referred as a platform that enables the exchange of information between the vehicle and its surroundings through various communication media. In case of Connected and Autonomous Vehicle (CAV), it may be referred to Internet of CAV. This paper presents the implementation of CAEV toward an automated driving, and testbeds of CAEV use cases including automated charging management services and CAEV taxi services. The preliminary analysis shows that the effectual implementation of the CAEV use cases.


Connected and Autonomous Vehicle (CAV) Connected and Autonomous Electric Vehicle (CAEV) Internet of CAV (IoCAV) CAEV application and services 



This research work is supported by Smart Grid Fund (SGF), Ministry of Energy, The Ontario Government and Canada Research Chair (CRC) Fund, Canada (Grant No. 129483).


  1. 1.
    Contreras-Castillo, J.; Zeadally, S.; Guerrero-Ibanez, J.: Internet of vehicles: architecture, protocols, and security. IEEE Internet Things J. 5(5), 3701–3709 (2018)CrossRefGoogle Scholar
  2. 2.
    Wu, W.; Yang, Z.; Li, K.: Internet of vehicles and applications. In: Buyya, R., Dastjerdi, A.V. (eds.) Internet of Things: Principles and Paradigms, chapter 16, pp. 299–317. Morgan Kaufmann, Cambridge, MA (2016)CrossRefGoogle Scholar
  3. 3.
    Kaiwartya, O.; Abdullah, A.H.; Cao, Y.; Altameem, A.; Prasad, M.; Lin, C.-T.; Liu, X.: Internet of vehicles: motivation, layered architecture, network model, challenges, and future aspects. IEEE Access 4, 5356–5373 (2016)CrossRefGoogle Scholar
  4. 4.
    Butt, T.A.; Iqbal, R.; Shah, C.S.; Umar, T.: Social Internet of Vehicles: architecture and enabling technologies. Comput. Electr. Eng. 69, 68–84 (2018)CrossRefGoogle Scholar
  5. 5.
    Datta, S.K.; Da Costa, R.P.F.; Harri, J, Bonnet, C.: Integrating connected vehicles in Internet of Things ecosystems: Challenges and solutions. In: 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM). IEEE, Coimbra, Portugal (2016)Google Scholar
  6. 6.
    Litman, T.: Autonomous Vehicle Implementation Predictions: Implications for Transport Planning. Victoria Transport Policy Institute (2018)Google Scholar
  7. 7.
    Djurica, M.: Internet Of Things for the Automated Driving. In: 12th ITS European Congress. Strasbourg, France (2017)Google Scholar
  8. 8.
    Joy, J.; Gerla, M.: Internet of vehicles and autonomous connected car: privacy and security issues. In: 2017 26th International Conference on Computer Communication and Networks (ICCCN). IEEE, Vancouver, BC, Canada (2017)Google Scholar
  9. 9.
    Datta, S.K.; Harri, J.; Bonnet, C.: IoT platform for precision positioning service for highly autonomous vehicles. In: 22nd International Computer Science and Engineering Conference (ICSEC 2018). IEEE, Chiang Mai, Thailand (2018)Google Scholar
  10. 10.
    Yao, L.; Chen, Y.Q.; Lim, W.H.: Internet of Things for electric vehicle: an improved decentralized charging scheme. In: 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp. 651–658. IEEE, Sydney, Australia (2015)Google Scholar
  11. 11.
    Yi, Z.; Shirk, M.: Data-driven optimal charging decision making for connected and automated electric vehicles: a personal usage scenario. Transp. Res. Part C 8, 37–58 (2018)CrossRefGoogle Scholar
  12. 12.
    Vaidya, B.; Mouftah, H.T.: Automated reservation mechanism for charging connected and autonomous EVs in smart Cities. In: 2018 IEEE 88th Vehicular Technology Conference (VTC2018-Fall) Workshop. IEEE, Chicago, USA (2018)Google Scholar
  13. 13.
    Davies, A.: Waymo’s So-called Robo-Taxi launch reveals a brutal truth wired (2018). Accessed 15 Dec 2018
  14. 14.
    Vosooghi, R.; Kamel, J.; Puchinger, J.; Leblond, V.; Jankovic, M.: Robo-taxi service fleet sizing: assessing the impact of user trust and willingness to use. In: 98th Annual Meeting of the Transportation Research Board. Washington D.C., USA (2019)Google Scholar

Copyright information

© King Fahd University of Petroleum & Minerals 2019

Authors and Affiliations

  1. 1.School of Electrical Engineering and Computer ScienceUniversity of OttawaOttawaCanada

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