Abstract
The current living standard of industrial nations causes increasing CO2 emissions, particulate matter, and noise pollution. An essential amount of these environmental issues is induced by stop-and-go traffic within cities which is seriously characterized by short-distance freight transport trips with inner-city and suburban distances. The project Smart City Logistik (SCL) strives for a practical and short-term solution to this problem by ICT-Systems for electric vehicles (EVs). But planning, monitoring and analyzing for urban area logistics can become complicated and challenging to use. Evaluating them within acceptance tests requires a lot of experiments as well as a lot of equipment. The following approach within the SCL project, funded by the German Federal Ministry for Economic Affairs and Energy (BMWi), tries to use the ICT-system as it is and connects that system through a dynamically and procedurally generated simulation environment, based on real terrain and community data.
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Acknowledgements
We would like to thank all members of the SCL research team here at FSU Jena – there are too many to name them all in person. We would also like to extend our gratitude to our partners within the research consortium, end users as well as research institutions and industrial developers. This project is supported by the German Federal Ministry for Economic Affairs and Energy in the IKT-II für Elektromobilität program under grant 01ME121(-33).
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Schau, V., Apel, S., Gebhard, K., Mauch, M., Rossak, W. (2016). ICT-Systems for Electric Vehicles Within Simulated and Community Based Environments. In: Fahrnberger, G., Eichler, G., Erfurth, C. (eds) Innovations for Community Services. I4CS 2016. Communications in Computer and Information Science, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-49466-1_15
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DOI: https://doi.org/10.1007/978-3-319-49466-1_15
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