Road inspection regularity and existing types made by road maintenance crew have not been good enough to be aware what is really happening on the roads. Road users’ contribution in road traffic safety is very important to ensure fast reaction on different road hazards.

    It is important to ensure not only the most common ways to report road hazards on state roads by phone, by email and on social media, but also expand data sources options in modern and user-friendly way.

    Waze navigation application already had functionality to report road hazards – to warn other application users, but no one acted to solve these road hazards until someone reported them through existing communication channels supported by State Joint Stock Company Latvian Roads Maintainer and State Company Latvian State Roads.

    To ensure better road traffic safety and faster reaction time on road hazards solving, Latvian Roads Maintainer gained access to Waze report feed and made a system for analyzing and processing Waze data. As the result - Latvian Roads Maintainer can improve road safety by faster reaction to road hazards reported by Waze users.

    Today, up to 70% from total reports processed by Latvian Roads Maintainer are generated by Waze.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Improving Traffic Safety by Using Waze User Reports


    Weitere Titelangaben:

    Sustain. Civil Infrastruct.


    Beteiligte:
    Akhnoukh, Amin (Herausgeber:in) / Kaloush, Kamil (Herausgeber:in) / Elabyad, Magid (Herausgeber:in) / Halleman, Brendan (Herausgeber:in) / Erian, Nihal (Herausgeber:in) / Enmon II, Samuel (Herausgeber:in) / Henry, Cherylyn (Herausgeber:in) / Steinbergs, Raitis (Autor:in) / Kligis, Maris (Autor:in)

    Kongress:

    International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates November 07, 2021 - November 10, 2021



    Erscheinungsdatum :

    21.04.2022


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Automatic Traffic Queue-End Identification using Location-Based Waze User Reports

    Liu, Yuandong / Zhang, Zhihua / Han, Lee D. et al. | Transportation Research Record | 2021


    Secondary Crash Identification using Crowdsourced Waze User Reports

    Zhang, Zhihua / Liu, Yuandong / Han, Lee D. et al. | Transportation Research Record | 2021


    Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze

    Amin-Naseri, Mostafa / Chakraborty, Pranamesh / Sharma, Anuj et al. | Transportation Research Record | 2018


    Exploration and evaluation of crowdsourced probe-based Waze traffic speed

    Zhang, Zhihua / Han, Lee D. / Liu, Yuandong | Taylor & Francis Verlag | 2022


    Are You Gonna Go My WAZE?

    Michael Pack | Online Contents | 2017