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.
| Original language | English |
|---|---|
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 979-8-3503-5528-4 |
| ISBN (Print) | 979-8-3503-5529-1 |
| DOIs | |
| State | Published - 2024 |
| Event | 12th IEEE Andescon, ANDESCON 2024 - Cusco, Peru Duration: 11 Sep 2024 → 13 Sep 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- crowdsourcing
- traffic
- waze
- waze for cities
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