Automatic incident detection and classification at intersections
Conference contribution, 2009
Collisions at intersections are common and their consequences are often severe. This paper addresses the need for information on accident causation; a knowledge that can be used to obtain more effective countermeasures. A novel method that can be applied to data recorded in a groundbased observation system or similar is proposed
for classifying vehicle interactions into a set of
predefined traffic scenarios. The classification is
based on possible combinations of trajectories of two interacting vehicles that have passed through an intersection.
Additionally, the authors present an incident detection algorithm that uses the classified vehicle interactions. This algorithm constitutes the core of a video-based automatic incident detection at intersections (AIDI) system. The performance of the AIDI system was successfully
verified both in a driving simulator and in real traffic conditions.