Benefits of Multi-Destination Travel Planning for Electric Vehicles

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00329303" target="_blank" >RIV/68407700:21230/18:00329303 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/8569385" target="_blank" >https://ieeexplore.ieee.org/document/8569385</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ITSC.2018.8569385" target="_blank" >10.1109/ITSC.2018.8569385</a>

Result language

angličtina

Original language name

Benefits of Multi-Destination Travel Planning for Electric Vehicles

Original language description

A major challenge for large-scale deployment of electrical vehicles (EVs) is charging. In general, the number of EVs that can be charged can be increased either by physically expanding charging capacity or by better exploiting existing charging capacity. In this paper, we focus on the latter, exploring how advanced EV travel planning systems can be used to better align where and when EV charging happens with where and when charging capacity is available. Our novel travel planner enables EV users to plan their trips and EV charging in a way that meets their needs yet reflects charging availability. The core innovation of our approach is that we take a broader, multidestination perspective to EV travel planning - this gives our planning system more flexibility and scope for deciding when and where charging should happen and, consequently, enables a better alignment between the need for charging implied by the EV travel and the availability of charging. We evaluate our approach on an agent-based simulation of several medium-scale scenarios based on real-world data. The results confirm the benefits of our multi-destination approach, especially in scenarios in which charging service providers support upfront booking of charging slots.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

—

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

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

ISBN

978-1-7281-0323-5

ISSN

—

e-ISSN

2153-0017

Number of pages

6

Pages from-to

327-332

Publisher name

IEEE Intelligent Transportation Systems Society

Place of publication

—

Event location

Maui

Event date

Nov 4, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000457881300051