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Increased Consumption in Oversaturated City Traffic Based on Empirical Vehicle Data

  • Peter HemmerleEmail author
  • Micha Koller
  • Hubert Rehborn
  • Gerhard Hermanns
  • Boris S. Kerner
  • Michael Schreckenberg
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

Congestion of urban roads causes extra travel time as well as additional fuel consumption. We present an approach to determine this additional fuel consumption on the basis of empirical vehicle data. We study probe vehicle data provided by TomTom to find the various traffic patterns of urban congestion. We use simulations of these urban traffic patterns based on a stochastic Kerner- Klenov model as input for an empirical fuel consumption matrix compiled from empirical CAN bus signals from vehicles. Our results confirm that in certain congested city traffic patterns vehicles consume more than twice as much fuel as in free city traffic.

Keywords

Urban traffic management urban congested traffic traffic signal empirical fuel consumption consumption matrix eco-routing oversaturated traffic probe vehicle data navigation traffic simulation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Peter Hemmerle
    • 1
    Email author
  • Micha Koller
    • 2
  • Hubert Rehborn
    • 1
  • Gerhard Hermanns
    • 3
  • Boris S. Kerner
    • 3
  • Michael Schreckenberg
    • 3
  1. 1.RD/RTFDaimler AGSindelfingenGermany
  2. 2.IT-Designers GmbHEsslingenGermany
  3. 3.Physik von Transport und VerkehrUniversität Duisburg EssenDuisburgGermany

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