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Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

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Handbook of Smart Cities

Abstract

In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs.

The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.

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Authors and Affiliations

  1. Northumbria University, Tyne, UK

    Yue Cao, Omprakash Kaiwartya, Ghanim Puturs & Muhammad Khalid

  2. University of Peshawar, Peshawar, Pakistan

    Naveed Ahmad

Authors
  1. Yue Cao
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  2. Naveed Ahmad
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  3. Omprakash Kaiwartya
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  4. Ghanim Puturs
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  5. Muhammad Khalid
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Corresponding author

Correspondence to Yue Cao .

Editor information

Editors and Affiliations

  1. School of Computer Science, McGill University, Montreal, QC, Canada

    Muthucumaru Maheswaran

  2. CIT, UAE University, Al Ain, United Arab Emirates

    Elarbi Badidi

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Cao, Y., Ahmad, N., Kaiwartya, O., Puturs, G., Khalid, M. (2018). Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City. In: Maheswaran, M., Badidi, E. (eds) Handbook of Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-319-97271-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-97271-8_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97270-1

  • Online ISBN: 978-3-319-97271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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