The Traffic Assignment Problem with Electric Vehicles (TAP-EV) considers that drivers of electric vehicles care about the travel time and energy consumption simultaneously. Therefore, the TAP-EV must address both objectives at the same time (a bi-objective problem). This repository contains the source code related to the TAP-EV, including:
- Algorithms:
- biobjective shortest path
- biobjective successive averages (with greedy energy and greedy slope strategies)
- Cost functions:
- simple and detailed energy battery models
- volume delay function
- Some experiments
The following paper describes the proposed algorithms and the experimental results.
A bi-objective method of traffic assignment for electric vehicles
Marcelo de Souza, Marcus Ritt, Ana L. C. Bazzan
IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, p. 2319-2324, 2016
DOI: https://doi.org/10.1109/ITSC.2016.7795930
Bibtex
@inproceedings{SouzaEtAl2016tapev,
title = {A bi-objective method of traffic assignment for electric vehicles},
author = {Souza, Marcelo and Ritt, Marcus and Bazzan, Ana},
booktitle = {2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)},
pages = {2319--2324},
year = {2016},
organization = {IEEE}
}Please, make sure to reference us if you use our methods in your research.
Maintainer: Marcelo de Souza
Contributors: Marcus Ritt and Ana Bazzan
Contact: marcelo.desouza@udesc.br