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Real-Time Vision-Based & Optimized Pedestrian Crossing Control System

Show simple item record Attanayake, Lahiru Jayasuriya, Hasara Mirihana, Ravindu Maduranga, Lochana Dampage, Udaya 2020-12-31T20:55:43Z 2020-12-31T20:55:43Z 2020
dc.description.abstract 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 of an optimal time frame for a certain group of pedestrians to cross the road at a given time period. This study concludes on the necessary requirements to optimize the timing of the existing pushbutton 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. en_US
dc.language.iso en en_US
dc.subject Pedestrian Safety en_US
dc.subject Image Processing en_US
dc.subject Road Traffic en_US
dc.subject Pedestrian group density en_US
dc.subject Vehicle queue density en_US
dc.title Real-Time Vision-Based & Optimized Pedestrian Crossing Control System en_US
dc.type Article Full Text en_US
dc.identifier.journal 13th International Research Conference General Sir John Kotelawala Defence University en_US
dc.identifier.pgnos 143-149 en_US

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