We are exploring the adoption of a real-time incident detection system with application of artificial intelligence technology on shared-use pavement for pedestrians and cyclists. The system should be capable of spotting automatically and instantly incidents such as collision between pedestrian and cyclist, and immediately informing the on-site staff for attending to the incidents. The system should also be capable of conducting real-time pedestrian and cycle flow counts on the shared-pavement to facilitate safety and crowd management. The possible adoption of alternative technology in lieu of video analytic, such as LIDAR and thermal detection, should be explored to address potential concern on privacy issue.
