Journal article

Show Me a Safer Way: Detecting Anomalous Driving Behavior Using Online Traffic Footage

Xiao Zheng, Fumi Wu, Weizhang Chen, Elham Naghizade, Kourosh Khoshelham

Infrastructures | MDPI | Published : 2019


Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. The large number of traffic cameras being integrated into urban infrastructures has enabled efficient traffic monitoring as an intervention in reducing traffic accidents and related casualties. In this paper, we focus on the problem of the automatic detection of anomalous driving behaviors, e.g., speeding or stopping on a bike lane, by using the traffic-camera feed that is available online. This can play an important role in personalized route-planning applications where, for instance, a user wants find the safest paths to get to a destination. We present an integrated s..

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Awarded by Australian Research Council

Funding Acknowledgements

This research was funded by the Australian Research Council grant DP170100109.