@inproceedings{8a244bdf83fb499790e32916d0313c63,
title = "Waze for Cities: An Effective Alternative for Traffic Study",
abstract = "This study explores the use of crowdsourcing data, specifically those provided by Waze for Cities, to obtain vehicular traffic data for the city of Cuenca to be used in mobility planning. A detailed methodology is presented that includes data extraction and preprocessing, as well as visualization through a dashboard and generation of a heat map. The usefulness of Waze as an agile and low-cost alternative to understand vehicular behavior in cities is highlighted.",
keywords = "crowdsourcing, traffic, waze, waze for cities",
author = "Villie Morocho and Steven Munoz and \{Chica Carmona\}, Jessica and \{Flores Juca\}, Enrique",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 12th IEEE Andescon, ANDESCON 2024 ; Conference date: 11-09-2024 Through 13-09-2024",
year = "2024",
doi = "10.1109/ANDESCON61840.2024.10755792",
language = "Ingl{\'e}s",
series = "IEEE Andescon, ANDESCON 2024 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Andescon, ANDESCON 2024 - Proceedings",
}