Abstract
Electric vehicles (EVs) have great potential as a modern mobility concept. Electricity already relies on a broad infrastructure and is available anywhere in developed countries. Furthermore, EVs are emmission-free which makes them the preferable form of individual transportation in urban areas where air pollution is often alarmingly high. However, operating EVs has several drawbacks compared to common combustion engine cars. The range of most EVs is rarely above 150 km, and when running out of energy, recharging an EV usually takes up to several hours. In order to benefit from the advantages of EVs without being afflicted with the disadvantages, it is advisable to rely on the support from smart systems for trip and charge planning. In the project Shared E-Fleet, the shared use of a fleet of electric cars by a heterogeneous group of drivers is examined. In the presented demo, we introduce a spatio-temporal query system which was developed to support drivers and fleet managers alike. For the driver, the system provides assistance to keep in range of charging stations and provides routing alternatives to a specified destination. For the fleet manager, the system incorporates real-time information to identify possible delays or battery drainages and thereby detect deviations from the fleet schedule to allow for early rescheduling.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ehrgott, M., Gandibleux, X.: A survey and annotated bibliography of multiobjective combinatorial optimization. OR-Spektrum 22, 425–460 (2000)
Jossé, G., Schmid, K.A., Schubert, M.: Probabilistic resource route queries with reappearance. In: EDBT 15, pp. 445–456 (2015)
Kriegel, H.P., Renz, M., Schubert, M.: Route skyline queries: a multi-preference path planning approach. ICDE 10, pp. 261–272 (2010)
Newson, P., Krumm, J.: Hidden markov map matching through noise and sparseness. In: ACM SIGSPATIAL GIS 09, pp. 336–343 (2009)
Shekelyan, M., Jossé, G., Schubert, M.: Linear path skylines in multicriteria networks. In: ICDE 15, pp. 459–470 (2015)
Shekelyan, M., Jossé, G., Schubert, M.: Paretoprep: efficient lower bounds for path skylines and fast path computation. In: SSTD 15 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Jossé, G., Schubert, M., Zellner, L. (2015). EasyEV: Monitoring and Querying System for Electric Vehicle Fleets Using Smart Car Data. In: Claramunt, C., et al. Advances in Spatial and Temporal Databases. SSTD 2015. Lecture Notes in Computer Science(), vol 9239. Springer, Cham. https://doi.org/10.1007/978-3-319-22363-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-319-22363-6_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-22362-9
Online ISBN: 978-3-319-22363-6
eBook Packages: Computer ScienceComputer Science (R0)