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Range Prediction Models for E-Vehicles in Urban Freight Logistics Based on Machine Learning

  • Johannes KretzschmarEmail author
  • Kai Gebhardt
  • Christoph Theiß
  • Volkmar Schau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9714)

Abstract

In this paper, we want to present an ICT architecture with a range prediction component, which sets up on machine learning algorithms based on consumption data. By this, the range component and therefore ICT system adapts to new vehicles and environmental conditions on runtime and distinguishes itself by low customization and maintenance costs.

Keywords

Electric mobility Range prediction Clustering 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Johannes Kretzschmar
    • 1
    Email author
  • Kai Gebhardt
    • 1
  • Christoph Theiß
    • 1
  • Volkmar Schau
    • 1
  1. 1.Department of Computer ScienceFriedrich Schiller UniversityJenaGermany

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