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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