Detection of anomalies in urban traffic from open data

    Research output: Contribution to conferenceConference articleScientificpeer-review

    Abstract

    In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.
    Original languageEnglish
    PagesTP1916
    Number of pages9
    Publication statusPublished - 3 Jun 2019
    MoE publication typeNot Eligible
    Event13th ITS European Congress: Fulfilling ITS promises - Brainport Eindhoven, Netherlands
    Duration: 3 Jun 20196 Jun 2019
    https://2019.itsineurope.com/

    Conference

    Conference13th ITS European Congress
    CountryNetherlands
    CityBrainport Eindhoven
    Period3/06/196/06/19
    Internet address

    Fingerprint

    Telecommunication traffic
    Artificial intelligence
    Railroad cars
    Cameras
    Detectors
    Processing
    Big data

    Cite this

    Kilpi, J., Koskinen, S., & Scholliers, J. (2019). Detection of anomalies in urban traffic from open data. TP1916. Paper presented at 13th ITS European Congress, Brainport Eindhoven, Netherlands.
    Kilpi, Jorma ; Koskinen, Sami ; Scholliers, Johan. / Detection of anomalies in urban traffic from open data. Paper presented at 13th ITS European Congress, Brainport Eindhoven, Netherlands.9 p.
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    author = "Jorma Kilpi and Sami Koskinen and Johan Scholliers",
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    Kilpi, J, Koskinen, S & Scholliers, J 2019, 'Detection of anomalies in urban traffic from open data', Paper presented at 13th ITS European Congress, Brainport Eindhoven, Netherlands, 3/06/19 - 6/06/19 pp. TP1916.

    Detection of anomalies in urban traffic from open data. / Kilpi, Jorma; Koskinen, Sami; Scholliers, Johan.

    2019. TP1916 Paper presented at 13th ITS European Congress, Brainport Eindhoven, Netherlands.

    Research output: Contribution to conferenceConference articleScientificpeer-review

    TY - CONF

    T1 - Detection of anomalies in urban traffic from open data

    AU - Kilpi, Jorma

    AU - Koskinen, Sami

    AU - Scholliers, Johan

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    PY - 2019/6/3

    Y1 - 2019/6/3

    N2 - In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.

    AB - In order to keep transport flowing in the city, Urban Traffic Management Centres (TMCs) need to have timely knowledge of any traffic disturbances. A wide range of data from vehicles and infrastructure is available, such as floating car data, traffic cameras and loop detectors at traffic lights. The Integrated Urban Mobility pilot from the TransformingTransport EU project demonstrates the potential of automated processing of these big data sources to improve situational awareness and to provide information to travellers. Through artificial intelligence and big data technologies, anomalies can be detected from data, which is often available as open data.

    UR - https://transformingtransport.eu/index.php/downloads/presentations

    M3 - Conference article

    SP - TP1916

    ER -

    Kilpi J, Koskinen S, Scholliers J. Detection of anomalies in urban traffic from open data. 2019. Paper presented at 13th ITS European Congress, Brainport Eindhoven, Netherlands.