In this work, we propose the Road Data Enrichment (RoDE), a framework that fuses data from heterogeneous data sources to enhance Intelligent Transportation System (ITS) services, such as vehicle routing and traffic event detection. We describe RoDE through two services: (i) Route service, and (ii) Event service. For the first service, we present the Twitter MAPS (T-MAPS), a low-cost spatiotemporal model to improve the description of traffic conditions through Location-Based Social Media (LBSM) data. As a case study, we explain how T-MAPS is able to enhance routing and trajectory descriptions by using tweets. Our experiments compare T-MAPS’ routes against Google Maps’ routes, showing up to 62% of route similarity, even though T-MAPS uses fewer and coarse-grained data. We then propose three applications, Route Sentiment (RS), Route Information (RI), and Area Tags (AT), to enrich T-MAPS’ suggested routes. For the second service, we present the Twitter Incident (T-Incident), a low-cost learning-based road incident detection and enrichment approach built using heterogeneous data fusion. Our approach uses a learning-based model to identify patterns on social media data which is then used to describe a class of events, aiming to detect different types of events. Our model to detect events achieved scores above 90%, thus allowing incident detection and description as a RoDE application. As a result, the enriched event description allows ITS to better understand the LBSM user’s viewpoint about traffic events (e.g., jams) and points of interest (e.g., restaurants, theaters, stadiums).


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Road Data Enrichment Framework Based on Heterogeneous Data Fusion for ITS




    Erscheinungsdatum :

    2020-04-01


    Format / Umfang :

    4538414 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Method of enrichment of road information data

    BJERNETUN JOHAN / ERIKSSON ANDERS | Europäisches Patentamt | 2016

    Freier Zugriff

    METHOD OF ENRICHMENT OF ROAD INFORMATION DATA

    BJERNETUN JOHAN / ERIKSSON ANDERS | Europäisches Patentamt | 2018

    Freier Zugriff

    DataFITS: A Heterogeneous Data Fusion Framework for Traffic and Incident Prediction

    Zibner, Philipp / Rettore, Paulo H. L. / Santos, Bruno P. et al. | IEEE | 2023

    Freier Zugriff

    Road monitoring system based on multi-source data fusion

    WANG JILAN / RUAN JIE / LI XIAOTIAN | Europäisches Patentamt | 2024

    Freier Zugriff

    Vehicle-Road Multi-View Interactive Data Fusion

    Zhang, Xinyu / Li, Jun / Li, Zhiwei et al. | Springer Verlag | 2023