Automatic Estimation of the Exposure to Lateral Collision in Signalized
  Intersections using Video Sensors
  Intersections constitute one of the most dangerous elements in road systems.
Traffic signals remain the most common way to control traffic at high-volume
intersections and offer many opportunities to apply intelligent transportation
systems to make traffic more efficient and safe. This paper describes an
automated method to estimate the temporal exposure of road users crossing the
conflict zone to lateral collision with road users originating from a different
approach. This component is part of a larger system relying on video sensors to
provide queue lengths and spatial occupancy that are used for real time traffic
control and monitoring. The method is evaluated on data collected during a real
world experiment.
