Event detection based on loop and journey time data

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Event detection based on loop and journey time data

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Published

An algorithm that examines the travel time (TT) and the corresponding loop-based information at the same time is proposed. It monitors TT and the traffic speeds on all the loops within the TT section continuously. Event alerts are activated when there is a significant reduction of speeds on at least one loop detector in addition to a significant increase in the TT. An event may be detected by TT at some stage, by loop data at another stage, or by a logical combination of two. The algorithm using fixed thresholds has been tested based on operational data collected in the National Traffic Control Centre. The thresholds are determined based on tradeoffs between detection and false alarm rates (FAR). Test results based on a full day of data indicate that the integrated algorithm has achieved an impressive detection rate and a FAR which should be easily manageable by operators. Further work would be needed to confirm operations and facilitate a practical implementation.

Inspec keywords: image recognition; traffic information systems; monitoring; road traffic

Other keywords: traffic information system; road network; travel time monitoring; false alarm rate; loop detector; event detection algorithm; National Traffic Control Centre; automatic number plate recognition-based journey time monitoring system

Subjects: Computer vision and image processing techniques; Traffic engineering computing; Image recognition

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