@Article{Masikos_2014,
  author    = {Michail Masikos and Michael Theologou and Konstantinos Demestichas and Evgenia Adamopoulou},
  title     = {Machine-learning methodology for energy efficient routing},
  journal   = {{IET} Intelligent Transport Systems},
  year      = {2014},
  volume    = {8},
  number    = {3},
  pages     = {255--265},
  month     = {may},
  abstract  = {Eco-driving assistance systems encourage economical driving behaviour and support the driver in optimising his/her driving style to achieve fuel economy and consequently, emission reductions. Energy efficiency is also one of the most pertinent issues related to the autonomy of fully electric vehicles. This study introduces a novel methodology for energy efficient routing, based on the realisation of dependable energy consumption predictions for the various road segments constituting an actual or potential vehicle route, performed mainly by means of machine-learning functionality. This proposed innovative methodology, the functional architecture implementing it, as well as demonstrative experimental results are presented in this study.},
  doi       = {10.1049/iet-its.2013.0006},
  publisher = {Institution of Engineering and Technology ({IET})},
}

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