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Personalised electric vehicle routing using online estimators

Personalised electric vehicle routing using online estimators
Personalised electric vehicle routing using online estimators
In this paper, we develop a novel approach to help drivers of electric vehicles (EVs) plan charging stops on long journeys. A key challenge here is eliciting the highly heterogeneous preferences of drivers. Here we develop an intelligent personal agent that learns preferences through multiple interactions. To minimise the cognitive burden on the driver, we propose a novel technique which applies a small-scale discrete choice experiment to interact with the driver. Specifically, the agent provides drivers with several routes with possible combinations of charging stops based on their latest beliefs about the driver's preferences. Then, through subsequent iterations, the personal agent learns and refines its beliefs about the driver's preferences. It suggests better routes closer to the driver's preferences. We evaluated our novel algorithm with real preference data from EV drivers, showing that our approach converges quickly to the optimal routes after only a small number of queries.
Electric Vehicles, Online Planning, Preference Elicitation
1865-0929
238–245
Springer Cham
Shafipour, Elnaz
a2e1dea9-d3c0-4288-afdc-197df65f2556
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Ahipasaoglu, Selin
d69f1b80-5c05-4d50-82df-c13b87b02687
Nowaczyk, Sławomir
Biecek, Przemysław
Chung, Neo Christopher
Vallati, Mauro
Skruch, Paweł
Jaworek-Korjakowska, Joanna
Parkinson, Simon
Nikitas, Alexandros
Atzmüller, Martin
Kliegr, Tomáš
Schmid, Ute
Bobek, Szymon
Lavrac, Nada
Peeters, Marieke
van Dierendonck, Roland
Robben, Saskia
Mercier-Laurent, Eunika
Kayakutlu, Gülgün
Owoc, Mieczyslaw Lech
Mason, Karl
Wahid, Abdul
Bruno, Pierangela
Calimeri, Francesco
Cauteruccio, Francesco
Terracina, Giorgio
Wolter, Diedrich
Leidner, Jochen L.
Kohlhase, Michael
Dimitrova, Vania
Shafipour, Elnaz
a2e1dea9-d3c0-4288-afdc-197df65f2556
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Ahipasaoglu, Selin
d69f1b80-5c05-4d50-82df-c13b87b02687
Nowaczyk, Sławomir
Biecek, Przemysław
Chung, Neo Christopher
Vallati, Mauro
Skruch, Paweł
Jaworek-Korjakowska, Joanna
Parkinson, Simon
Nikitas, Alexandros
Atzmüller, Martin
Kliegr, Tomáš
Schmid, Ute
Bobek, Szymon
Lavrac, Nada
Peeters, Marieke
van Dierendonck, Roland
Robben, Saskia
Mercier-Laurent, Eunika
Kayakutlu, Gülgün
Owoc, Mieczyslaw Lech
Mason, Karl
Wahid, Abdul
Bruno, Pierangela
Calimeri, Francesco
Cauteruccio, Francesco
Terracina, Giorgio
Wolter, Diedrich
Leidner, Jochen L.
Kohlhase, Michael
Dimitrova, Vania

Shafipour, Elnaz, Stein, Sebastian and Ahipasaoglu, Selin (2024) Personalised electric vehicle routing using online estimators. Nowaczyk, Sławomir, Biecek, Przemysław, Chung, Neo Christopher, Vallati, Mauro, Skruch, Paweł, Jaworek-Korjakowska, Joanna, Parkinson, Simon, Nikitas, Alexandros, Atzmüller, Martin, Kliegr, Tomáš, Schmid, Ute, Bobek, Szymon, Lavrac, Nada, Peeters, Marieke, van Dierendonck, Roland, Robben, Saskia, Mercier-Laurent, Eunika, Kayakutlu, Gülgün, Owoc, Mieczyslaw Lech, Mason, Karl, Wahid, Abdul, Bruno, Pierangela, Calimeri, Francesco, Cauteruccio, Francesco, Terracina, Giorgio, Wolter, Diedrich, Leidner, Jochen L., Kohlhase, Michael and Dimitrova, Vania (eds.) In Artificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings. vol. 1948 CCIS, Springer Cham. 238–245 . (doi:10.1007/978-3-031-50485-3_25).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we develop a novel approach to help drivers of electric vehicles (EVs) plan charging stops on long journeys. A key challenge here is eliciting the highly heterogeneous preferences of drivers. Here we develop an intelligent personal agent that learns preferences through multiple interactions. To minimise the cognitive burden on the driver, we propose a novel technique which applies a small-scale discrete choice experiment to interact with the driver. Specifically, the agent provides drivers with several routes with possible combinations of charging stops based on their latest beliefs about the driver's preferences. Then, through subsequent iterations, the personal agent learns and refines its beliefs about the driver's preferences. It suggests better routes closer to the driver's preferences. We evaluated our novel algorithm with real preference data from EV drivers, showing that our approach converges quickly to the optimal routes after only a small number of queries.

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Personalised_Electric_Vehicle_Routing_Using_Online_Estimators - Accepted Manuscript
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More information

Published date: 25 January 2024
Additional Information: Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Venue - Dates: ECAI 2023 Workshop on Artificial Intelligence for Sustainability, Poland, 2023-09-30
Keywords: Electric Vehicles, Online Planning, Preference Elicitation

Identifiers

Local EPrints ID: 481645
URI: http://eprints.soton.ac.uk/id/eprint/481645
ISSN: 1865-0929
PURE UUID: db93de56-8d21-4d94-b2a7-2c83219c5fde
ORCID for Sebastian Stein: ORCID iD orcid.org/0000-0003-2858-8857
ORCID for Selin Ahipasaoglu: ORCID iD orcid.org/0000-0003-1371-315X

Catalogue record

Date deposited: 05 Sep 2023 16:49
Last modified: 13 Apr 2024 02:00

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Contributors

Author: Elnaz Shafipour
Author: Sebastian Stein ORCID iD
Editor: Sławomir Nowaczyk
Editor: Przemysław Biecek
Editor: Neo Christopher Chung
Editor: Mauro Vallati
Editor: Paweł Skruch
Editor: Joanna Jaworek-Korjakowska
Editor: Simon Parkinson
Editor: Alexandros Nikitas
Editor: Martin Atzmüller
Editor: Tomáš Kliegr
Editor: Ute Schmid
Editor: Szymon Bobek
Editor: Nada Lavrac
Editor: Marieke Peeters
Editor: Roland van Dierendonck
Editor: Saskia Robben
Editor: Eunika Mercier-Laurent
Editor: Gülgün Kayakutlu
Editor: Mieczyslaw Lech Owoc
Editor: Karl Mason
Editor: Abdul Wahid
Editor: Pierangela Bruno
Editor: Francesco Calimeri
Editor: Francesco Cauteruccio
Editor: Giorgio Terracina
Editor: Diedrich Wolter
Editor: Jochen L. Leidner
Editor: Michael Kohlhase
Editor: Vania Dimitrova

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