Whole Day Mobility Planning with Electric Vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00322130" target="_blank" >RIV/68407700:21230/18:00322130 - isvavai.cz</a>

Result on the web

<a href="http://www.scitepress.org/Papers/2018/65985/65985.pdf" target="_blank" >http://www.scitepress.org/Papers/2018/65985/65985.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Whole Day Mobility Planning with Electric Vehicles

Original language description

We propose a novel and challenging variant of trip planning problems – Whole Day Mobility Planning with Electric Vehicles (WDMEV). WDMEV combines several concerns, which has been so far only considered separately, in order to realistically model the problem of planning mobility with electric vehicles (EVs). A key difference between trip planning for combustion engine cars and trip planning for EVs is the comparatively lower battery capacity and comparatively long charging times of EVs – which makes it important to carefully consider charging when planning travel. The key idea behind WDMEV is that the user can better optimize his/her mobility with EVs, if it considers the activities he/she needs to perform and the travel required to get to the locations of these activities for the whole day - rather than planning for single trips only. In this paper, we formalize the WDMEV problem and propose a solution based on a label-setting heuristic search algorithm, including several speed-ups. We evaluate the proposed algorithm on a realistic set of benchmark problems, confirming that the whole day approach reduces the time required to complete one’s day travel with EVs and that it also makes it cheaper, compared to the traditional single-trip approach.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 10th International Conference on Agents and Artificial Intelligence

ISBN

978-989-758-275-2

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

154-164

Publisher name

SciTePress

Place of publication

Madeira

Event location

Funchal, Medeira, Portugal

Event date

Jan 16, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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