Towards Street-Level Traffic Analysis Using Waze Crowdsourced Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0197683" target="_blank" >RIV/00216305:26230/26:0197683 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/11037686" target="_blank" >https://ieeexplore.ieee.org/document/11037686</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SCSP65598.2025.11037686" target="_blank" >10.1109/SCSP65598.2025.11037686</a>

Result language

angličtina

Original language name

Towards Street-Level Traffic Analysis Using Waze Crowdsourced Data

Original language description

Traffic congestion represents a global challenge, significantly impacting the quality of life for urban residents. As a result, one of the main goals for traffic engineers is to optimize urban traffic flow. Advances in technology have introduced new diverse sources of traffic data, such as IoT-based sensors, mobile network operators, and crowdsourced platforms like Waze and Google Maps. This paper uses crowdsourced data from the Waze navigation application, obtained through the Waze for Cities program, to associate traffic congestions and incidents with specific street segments. The methodology is demonstrated through a usage scenario in Brno, employing two Waze datasets-Traffic Congestion and Traffic Incidents-alongside a municipal street network dataset. The proposed approach systematically maps traffic events to street segments, offering a detailed and citywide perspective on traffic conditions. To illustrate the application of this method, traffic events, and congestion levels are visualized along a computed route between two distinct locations. The route is generated using an optimized A* algorithm, modified to enhance calculation speed and efficiency.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IEEE Xplore

ISBN

979-8-3315-2550-7

ISSN

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e-ISSN

—

Number of pages

6

Pages from-to

1-6

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Prague

Event location

Prague

Event date

May 28, 2025

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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