Abstract
We introduce a novel variant of the problem of computing energy-efficient and quick routes in a road network. In contrast to previous route planning approaches we do not only make use of variation of the routes to save energy but also allow variation of driving speed along the route to achieve energy savings. Our approach is based on a simple yet fundamental insight about the optimal velocities along a fixed route and a reduction to the constrained shortest path problem.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Aggarwal, V., Aneja, Y., Nair, K.: Minimal spanning tree subject to a side constraint. In: 32nd ACM Symposium on Theory of Computing (STOC), pp. 286–295 (1982)
Artmeier, A., Haselmayr, J., Leucker, M., Sachenbacher, M.: The shortest path problem revisited: Optimal routing for electric vehicles. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., Schultz, T. (eds.) KI 2010. LNCS, vol. 6359, pp. 309–316. Springer, Heidelberg (2010)
Eisner, J., Funke, S., Storandt, S.: Optimal route planning for electric vehicles in large networks. In: AAAI Conference on Artificial Intelligence (2011), http://www.aaai.org/ocs/index.php/AAAI/AAAI11/paper/view/3637
Freie Universität Berlin, Institut für Chemie und Biochemie: Kfz energetisch betrachtet (January 2009), http://www.chemie.fu-berlin.de/chemistry/general/kfz-energetisch.html
Funke, S., Storandt, S.: Polynomial-time construction of contraction hierarchies for multi-criteria objectives. In: Algorithm Engineering and Experiments (ALENEX), pp. 41–54 (2013)
Geisberger, R., Sanders, P., Schultes, D., Delling, D.: Contraction hierarchies: Faster and simpler hierarchical routing in road networks. In: McGeoch, C.C. (ed.) WEA 2008. LNCS, vol. 5038, pp. 319–333. Springer, Heidelberg (2008), http://portal.acm.org/citation.cfm?id=1788888.1788912
Storandt, S.: Quick and energy-efficient routes: Computing constrained shortest paths for electric vehicles. In: Proceedings of the 5th ACM SIGSPATIAL International Workshop on Computational Transportation Science, IWCTS 2012, pp. 20–25. ACM, New York (2012)
Storandt, S.: Route planning for bicycles - exact constrained shortest paths made practical via contraction hierarchy. In: 22nd Int. Conf. on Automated Planning and Scheduling, ICAPS (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Hartmann, F., Funke, S. (2014). Energy-Efficient Routing: Taking Speed into Account. In: Lutz, C., Thielscher, M. (eds) KI 2014: Advances in Artificial Intelligence. KI 2014. Lecture Notes in Computer Science(), vol 8736. Springer, Cham. https://doi.org/10.1007/978-3-319-11206-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-11206-0_10
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11205-3
Online ISBN: 978-3-319-11206-0
eBook Packages: Computer ScienceComputer Science (R0)