Real-Time Vision Based & Optimized Pedestrian Crossing Control System
Lahiru Attanayake, Hasara Jayasuriya, Ravindu Mirihana, Lochana Maduranga, Udaya Dampage · KDU International Research Conference 2020 · 2020
As per the National Council for Road Safety, more than 900 fatalities have been reported due to vehicle collisions on or near pedestrian crossings during the past 10 years within Sri Lanka. However, only minimal research has been carried out so far to improve the safety conditions of pedestrians. This research focuses on developing a system utilizing image processing to obtain the real-time data of a group of pedestrians at crosswalks and determining an optimal time frame for a certain group of pedestrians to cross the road at a given period. This study concludes on the requirements to optimize the timing of the existing push-button based signaling system. A mobile-based app is also developed to assist drivers to be incorporated with the proposed signaling system to enhance the end-effect. Extensive trials prove that the proposed system would ensure pedestrian safety and minimize or even prevent reckless road collisions within crosswalks.