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Soft Computing for Business Intelligence pp 379–395Cite as

Tool Based Assessment of Electromobility in Urban Logistics

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 537))

Abstract

Compared to conventional vehicles with combustion engines, electric vehicles have several advantages concerning sustainability and efficiency. Unfortunately, these advantages are bound to low ranges of the vehicles and long charging times due to the battery as energy source. In addition, the expensive battery increase the investment cost of the vehicle. In case of private users, these costs cannot be amortized by the relatively low electricity price due to the low utilizations of the vehicle. Car sharing could be a possible answer to deploy electric cars in urban regions nevertheless. The objective of our research is to assess the feasibility of exchanging conventional vehicles through electric powered ones within a car sharing fleet. The goals of this analysis are to determine possible exchange rates of the vehicles, to specify the required charging infrastructure and to evaluate the effect on the quality of service in terms of availability of the vehicles. In order to achieve these goals, we developed a multi-agent framework that simulates vehicles with new drive systems in existing transportations systems in general and the potential of electromobility in existing road networks in particular. In this chapter, we explain our approach and evaluate the feasibility of electric vehicles in a particular car sharing fleet operating in the city of Oldenburg, Germany. We evaluate two customer patterns: working day and weekend. The results show that the weekend scenario leads to several fuel shortages – in contrast to the working day scenario. The findings indicate that a more intelligent booking system or a quantitative expansion of charging stations would lead to a higher reliability and user acceptance.

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Author information

Authors and Affiliations

  1. OFFIS Oldenburg, Oldenburg, Germany

    Tim Hoerstebrock

  2. Carl von Ossietzky University of Oldenburg, Oldenburg, Germany

    Axel Hahn & Jürgen Sauer

Authors
  1. Tim Hoerstebrock
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  2. Axel Hahn
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  3. Jürgen Sauer
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Corresponding author

Correspondence to Tim Hoerstebrock .

Editor information

Editors and Affiliations

  1. Centro de Estudios de Técnicas de Dirección, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Rafael Espin

  2. Centro de Estudios de Informática Carretera a Camajuani, Universidad Central Marta Abreu de Las Villas, Santa Clara, Cuba

    Rafael Bello Pérez

  3. Department of Applied Mathematics and Computer Science, Universidad de Cantabria, Santander, Spain

    Angel Cobo

  4. Department für Informatik, Carl Von Ossietzky Universität Oldenburg, Oldenburg, Germany

    Jorge Marx

  5. Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba

    Ariel Racet Valdés

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Hoerstebrock, T., Hahn, A., Sauer, J. (2014). Tool Based Assessment of Electromobility in Urban Logistics. In: Espin, R., Pérez, R., Cobo, A., Marx, J., Valdés, A. (eds) Soft Computing for Business Intelligence. Studies in Computational Intelligence, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53737-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-53737-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53736-3

  • Online ISBN: 978-3-642-53737-0

  • eBook Packages: EngineeringEngineering (R0)

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