Waze for Cities: An Effective Alternative for Traffic Study

Carlos Villie Morocho Zurita; Steven Marcelo Munoz Tufiño; Jessica Graciela Chica Carmona; Gonzalo Enrique Flores Juca

doi:10.1109/ANDESCON61840.2024.10755792

Waze for Cities: An Effective Alternative for Traffic Study

Carlos Villie Morocho Zurita
, Steven Marcelo Munoz Tufiño
, Jessica Graciela Chica Carmona
, Gonzalo Enrique Flores Juca

Producción científica: Informe/libro › Libro › revisión exhaustiva

1 Cita (Scopus)

Resumen

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. © 2024 IEEE.

Idioma original	Inglés
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	979-8-3503-5528-4
ISBN (versión impresa)	979-8-3503-5529-1
DOI	https://doi.org/10.1109/ANDESCON61840.2024.10755792
Estado	Publicada - 2024
Evento	12th IEEE Andescon, ANDESCON 2024 - Cusco, Perú Duración: 11 sep. 2024 → 13 sep. 2024

Palabras clave

Crowdsourcing
Traffic
Waze
Waze for cities

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ANDESCON61840.2024.10755792

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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. {\textcopyright} 2024 IEEE.",

keywords = "crowdsourcing, traffic, waze, waze for cities, Crowdsourcing, Traffic, Waze, Waze for cities",

author = "\{Morocho Zurita\}, \{Carlos Villie\} and \{Munoz Tufi{\~n}o\}, \{Steven Marcelo\} and \{Chica Carmona\}, \{Jessica Graciela\} and \{Flores Juca\}, \{Gonzalo 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",

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AU - Munoz Tufiño, Steven Marcelo

AU - Chica Carmona, Jessica Graciela

AU - Flores Juca, Gonzalo Enrique

PY - 2024

Y1 - 2024

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AB - 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. © 2024 IEEE.

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KW - Crowdsourcing

KW - Traffic

KW - Waze

KW - Waze for cities

UR - https://www.scopus.com/pages/publications/85211955841

U2 - 10.1109/ANDESCON61840.2024.10755792

DO - 10.1109/ANDESCON61840.2024.10755792

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BT - Waze for Cities

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 11 September 2024 through 13 September 2024

ER -

Waze for Cities: An Effective Alternative for Traffic Study

Resumen

Palabras clave

ODS de las Naciones Unidas

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