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Evolutionary Paths Towards the Mobility Patterns of the Future pp 265–280Cite as

An Approach Towards Service Infrastructure Optimization for Electromobility

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Part of the book series: Lecture Notes in Mobility ((LNMOB))

Abstract

Electric mobiles are one of many possible answers regarding the increasing costs of fossil fuels and carbon emission reduction targets. The main contraint is that the new technology must cover the users’ mobility needs which are still rising. Due to the technical restrictions of electric vehicles, a switch to electromobility is bound to the need for a sufficient charging infrastructure taking into account current and future mobility behavior as well as the characteristics of electric vehicles. This paper explains a methodology to design and assess the charging infrastructure layout without having a significant amount of electric vehicles available. This approach includes the use of the simulation tool TrIAS (Transportation infrastructure assessment by simulation). The basis is a planning model that is able to represent concepts and parameters like users’ mobility patterns, regional street layout, available parking infrastructure as well as the e-car and its technical characteristics like range or battery capacity itself. This model is the input for a simulation-based analysis. The approach is applied in the region Bremen/Oldenburg to analyze the requirements towards a sufficient charging infrastructure for electric vehicles.

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Notes

  1. 1.

    The data was provided by the project partners Centre for Regional and Innovation Economics (CRIE) and Senator of Environment, Building and Transportation (SUBVE).

  2. 2.

    The data of the reference vehicle (Think City) was provided by the project partner Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI).

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Author information

Authors and Affiliations

  1. R&D Division Transportation, OFFIS - Institute for Information Technology, Escherweg 2, 26121, Oldenburg, Germany

    Tim Hoerstebrock & Axel Hahn

Authors
  1. Tim Hoerstebrock
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  2. Axel Hahn
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Correspondence to Tim Hoerstebrock .

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Editors and Affiliations

  1. Systems Management - International Logis, Jacobs University Bremen, Bremen, Germany

    Michael Hülsmann

  2. Business Studies and Economics, University of Bremen, Bremen, Germany

    Dirk Fornahl

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Hoerstebrock, T., Hahn, A. (2014). An Approach Towards Service Infrastructure Optimization for Electromobility. In: Hülsmann, M., Fornahl, D. (eds) Evolutionary Paths Towards the Mobility Patterns of the Future. Lecture Notes in Mobility. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37558-3_16

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  • DOI: https://doi.org/10.1007/978-3-642-37558-3_16

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  • Print ISBN: 978-3-642-37557-6

  • Online ISBN: 978-3-642-37558-3

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