Intention-aware routing to minimise delays at electric vehicle charging stations

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2013, Pages 83-89

  De Weerdt, Mathijs M ^a   Gerding, Enrico H ^b   Stein, Sebastian ^b   Robu, Valentin ^b   Jennings, Nicholas R ^b  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGING STATION; ELECTRIC VEHICLE CHARGING; HISTORICAL INFORMATION; JOURNEY TIME; NOVEL TECHNIQUES; ROUTING POLICIES; STATE OF CHARGE; USE INTENTIONS;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; NAVIGATION SYSTEMS;

ELECTRIC VEHICLES;

EID: 84896059411     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. K. Clement-Nyns, E. Haesen, and J. Driesen. The impact of charging plug-in hybrid electric vehicles on a residential distribution grid. IEEE Transactions on Power Systems, 25(1):371-380, 2010.
2. R. Eglese, W. Maden, and A. Slater. A road timetable to aid vehicle routing and scheduling. Computers & Operations Research, 33(12):3508-3519, 2006.
3. S. Gao and I. Chabini. Optimal routing policy problems in stochastic time-dependent networks. Transportation Research Part B: Methodological, 40(2):93-122, 2006.
4. C. Gawron. An iterative algorithm to determine the dynamic user equilibrium in a traffic simulation model. International Journal of Modern Physics C, 9(3):393-407, 1998.
5. R.W. Hall. The fastest path through a network with random time-dependent travel times. Transportation science, 20(3):182-188, 1986.
6. H.-J. Kim, J. Lee, and G.-L. Park. Constraint-based charging scheduler design for electric vehicles. In Intelligent Information and Database Systems, volume 7189 of LNCS, pages 266-275, 2012.
7. R.D. McKelvey and T.R. Palfrey. Quantal response equilibria for extensive form games. Experimental economics, 1(1):9-41, 1998.
8. M.L. Puterman. Markov decision processes: Discrete stochastic dynamic programming. John Wiley & Sons, Inc., 1994.
9. H. Qin and W. Zhang. Charging scheduling with minimal waiting in a network of electric vehicles and charging stations. In Proc. of the 8th ACM International Workshop on Vehicular Inter-Networking, pages 51-60, 2011.
10. R.A.E. Electric Vehicles: Charged with potential. Royal Academy of Engineering, 2010.
11. S. Stein, E. Gerding, V. Robu, and N.R. Jennings. A model-based online mechanism with precommitment and its application to electric vehicle charging. In International Conference on Autonomous Agents and Multiagent Systems, pages 669-676, 2012.
12. M. Vasirani and S. Ossowski. A computational monetary market for plug-in electric vehicle charging. In Auctions, Market Mechanisms and Their Applications, volume 80 of Lecture Notes of ICST, pages 88-99, 2011.