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dc.contributor.authorAttanayake, Lahiru
dc.contributor.authorJayasuriya, Hasara
dc.contributor.authorMirihana, Ravindu
dc.contributor.authorMaduranga, Lochana
dc.contributor.authorDampage, Udaya
dc.date.accessioned2020-12-31T20:55:43Z
dc.date.available2020-12-31T20:55:43Z
dc.date.issued2020
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2968
dc.description.abstractAs 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.isoenen_US
dc.subjectPedestrian Safetyen_US
dc.subjectImage Processingen_US
dc.subjectRoad Trafficen_US
dc.subjectPedestrian group densityen_US
dc.subjectVehicle queue densityen_US
dc.titleReal-Time Vision-Based & Optimized Pedestrian Crossing Control Systemen_US
dc.typeArticle Full Texten_US
dc.identifier.journal13th International Research Conference General Sir John Kotelawala Defence Universityen_US
dc.identifier.pgnos143-149en_US


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