Proceedings of the 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025)

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Predictive Models of Energy Expenditure of Electric Delivery Vehicles in Urban Service Enterprises

Authors
Mariusz Izdebski1, *, Marianna Jacyna1
1Warsaw University of Technology, Faculty of Transport, Koszykowa, 75, 00-662, Warsaw, Poland
*Corresponding author. Email: mariusz.izdebski@pw.edu.pl
Corresponding Author
Mariusz Izdebski
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-972-8_19How to use a DOI?
Keywords
energy expenditure; predictive models; electric delivery vehicles
Abstract

The article presents the development of models designed to forecast the energy consumption of electric vehicles used in urban service enterprises. The aim of the study was to identify the most suitable type of predictive model for estimating the energy demand of electric delivery vehicles. Both linear and nonlinear models were analyzed. The predicted energy consumption was determined using regression models. These models included key explanatory variables that have a statistically significant impact on vehicle energy use. The independent variables incorporated into the models included: route segment length, average vehicle weight with load, vehicle departure time from the base, number of loading and unloading points along the route, number of stops resulting from road infrastructure, average terrain slope, and average wind speed. The regression functions were developed based on classical multiple analysis and neural networks. The predictive performance of the models was evaluated using the coefficient of determination.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025)
Series
Atlantis Highlights in Engineering
Publication Date
29 December 2025
ISBN
978-94-6463-972-8
ISSN
2589-4943
DOI
10.2991/978-94-6463-972-8_19How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mariusz Izdebski
AU  - Marianna Jacyna
PY  - 2025
DA  - 2025/12/29
TI  - Predictive Models of Energy Expenditure of Electric Delivery Vehicles in Urban Service Enterprises
BT  - Proceedings of the 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025)
PB  - Atlantis Press
SP  - 199
EP  - 211
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-972-8_19
DO  - 10.2991/978-94-6463-972-8_19
ID  - Izdebski2025
ER  -