EVtonomy: a personalised route planner for electric vehicles
EVtonomy: a personalised route planner for electric vehicles
With the continuing growth of the electric vehicle (EV) market, planning long road trips should be a seamless and hassle-free experience for EV owners. Dedicated EV route planning apps have emerged recently as indispensable assistants providing essential mapping and data services. However, EV owners still face a number of challenges when planning their routes to prevent unnecessary delays or expenses. These challenges are not yet fully addressed with current EV planning apps. This paper introduces EVtonomy, an app that assigns an intelligent agent to each driver capable of planning personalised journeys. Specifically, the agent provides routes and charging stop recommendations aligned with the EV owner's individual preferences in terms of trip duration, including both driving time and the time spent charging the car, along with the total charging costs.
Augustin, Alexandry
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Shafipour, Elnaz
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Stein, Sebastian
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May 2024
Augustin, Alexandry
dca1be1e-909c-471a-ba63-19da670b095a
Shafipour, Elnaz
a2e1dea9-d3c0-4288-afdc-197df65f2556
Stein, Sebastian
cb2325e7-5e63-475e-8a69-9db2dfbdb00b
Augustin, Alexandry, Shafipour, Elnaz and Stein, Sebastian
(2024)
EVtonomy: a personalised route planner for electric vehicles.
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems, Cordis Hotel, Auckland, New Zealand.
06 - 10 May 2024.
Record type:
Conference or Workshop Item
(Paper)
Abstract
With the continuing growth of the electric vehicle (EV) market, planning long road trips should be a seamless and hassle-free experience for EV owners. Dedicated EV route planning apps have emerged recently as indispensable assistants providing essential mapping and data services. However, EV owners still face a number of challenges when planning their routes to prevent unnecessary delays or expenses. These challenges are not yet fully addressed with current EV planning apps. This paper introduces EVtonomy, an app that assigns an intelligent agent to each driver capable of planning personalised journeys. Specifically, the agent provides routes and charging stop recommendations aligned with the EV owner's individual preferences in terms of trip duration, including both driving time and the time spent charging the car, along with the total charging costs.
More information
Published date: May 2024
Venue - Dates:
The 23rd International Conference on Autonomous Agents and Multi-Agent Systems, Cordis Hotel, Auckland, New Zealand, 2024-05-06 - 2024-05-10
Identifiers
Local EPrints ID: 487940
URI: http://eprints.soton.ac.uk/id/eprint/487940
PURE UUID: 58dc0582-e748-4e18-8e2a-0b6119c31140
Catalogue record
Date deposited: 11 Mar 2024 17:38
Last modified: 18 Mar 2024 03:09
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Contributors
Author:
Alexandry Augustin
Author:
Elnaz Shafipour
Author:
Sebastian Stein
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