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Schedule rating method based on a fragmentation criterion

Schedule optimization in corporate carsharing of electric vehicles
 
: Kötter, Falko; Ostermann, Julien; Jecan, Daniel Valerian

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Volltext (PDF; )

Sulc, Vladimir (Ed.) ; International Academy, Research, and Industry Association -IARIA-:
VEHICULAR 2015, Fourth International Conference on Advances in Vehicular Systems, Technologies and Applications : October 11 -16, 2015, St. Julians, Malta
IARIA, 2015
ISBN: 978-1-61208-434-3
S.20-25
International Conference on Advances in Vehicular Systems, Technologies and Applications (VEHICULAR) <4, 2015, St. Julians/Malta>
Bundesministerium für Wirtschaft und Technologie BMWi
IKT für Elektromobilität; 01ME12105; Shared E-Fleet
Intelligenter Betrieb von gemeinsam genutzten Elektrofahrzeugflotten
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAO ()

Abstract
Sharing electric vehicles among companies and users can increase efficiency of corporate car fleets. Due to charging times and limited ranges, high quality scheduling is necessary to achieve a high degree of utilization and in turn economic efficiency. Schedule optimization can help improving a schedule regarding utilization and cost, but does not take into account possible future bookings. If a schedule is fragmented, no future bookings can fit in. In this work, we introduce a measurement for the fragmentation of schedules and use it to minimize fragmentation and in turn maximize future booking potential. We evaluate the approach using synthetic and real-life trials, showing that fragmentation reduction can lead to increased utilization in electric vehicle fleets.

: http://publica.fraunhofer.de/dokumente/N-375130.html