University of Oulu

E. Gilman et al., "Fuel consumption analysis of driven trips with respect to route choice," 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), Dallas, TX, USA, 2020, pp. 40-47, doi: 10.1109/ICDEW49219.2020.000-9

Fuel consumption analysis of driven trips with respect to route choice

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Author: Gilman, Ekaterina1; Tamminen, Satu2; Keskinarkaus, Anja3;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Finland
2Biomimetics and Intelligent Systems Group, University of Oulu, Finland
3Center for Machine Vision and Signal Analysis, University of Oulu, Finland
4Department of Infocommunication Technologies, ITMO University, Saint Petersburg, Russia
5Department of Business Administration, University of West Attica, Athens, Greece
6Department of Computer Science, University of Helsinki, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020060340294
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-06-03
Description:

Abstract

Advances in technology equip traffic domain with instruments to gather and analyse data for safe and fuel-efficient traveling. In this article, we elaborate on the effects that taxi drivers’ route selection has on fuel efficiency. For this purpose, we fuse real driving behaviour data from taxi cabs, weather, digital map, and traffic situation information to gain understanding of how the routes are selected and what are the effects in terms of fuel-efficiency. Analysis of actually driven trips and their quickest and shortest counterparts is conducted to find out the fuel-efficiency consequences on route selection. The judgments are used for developing a fuel-consumption model, exploring further the route characteristics and external factors affecting fuel consumption.

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Series: IEEE International Conference on Data Engineering workshop
ISSN: 1943-2895
ISSN-E: 2473-3490
ISSN-L: 1943-2895
ISBN: 978-1-7281-4266-1
ISBN Print: 978-1-7281-4267-8
Pages: 40 - 47
DOI: 10.1109/ICDEW49219.2020.000-9
OADOI: https://oadoi.org/10.1109/ICDEW49219.2020.000-9
Host publication: IEEE 36th International Conference on Data Engineering Workshops (ICDEW), 20-24 April 2020, Dallas, TX, USA
Conference: IEEE International Conference on Data Engineering Workshops
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Funding: This work has been funded by Tekes as part of the Data to Intelligence Program of DIGILE, EU Horizon 2020 project CUTLER: Coastal Urban development through the LEnses of Resiliency (770469), by Academy of Finland UrBOT: Enabling transient urban knowledge for future cities project (323630), and 6Genesis Flagship (318927).
EU Grant Number: (770469) CUTLER - Coastal Urban developmenT through the LEnses of Resiliency
Academy of Finland Grant Number: 323630
318927
Detailed Information: 323630 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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