Detection of anomalies in urban traffic from open data

    Research output: Contribution to conferenceConference articleScientificpeer-review


    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
    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


    Conference13th ITS European Congress
    CityBrainport Eindhoven
    Internet address


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