Fuzzy Signal Light Control System for Pedestrian Crossings

Show simple item record

dc.contributor.author Wannige, C.T.
dc.contributor.author Sonnadara, D.U.J.
dc.date.accessioned 2012-12-20T05:09:46Z
dc.date.available 2012-12-20T05:09:46Z
dc.date.issued 2009
dc.identifier.citation Proceedings of the 27th National IT Conference (2009) en_US
dc.identifier.uri http://archive.cmb.ac.lk:8080/xmlui/handle/70130/3339
dc.description.abstract In this article, we bring forward a fuzzy signal light control system for Pedestrian Crossings with the scope of minimizing delay experienced by drivers and pedestrians at signal crossings. Here, we use a fuzzy logic system to input the number of waiting pedestrians and the vehicle flow rate to determine the pedestrian waiting time before the red light is lit. To determine the number of waiting pedestrians and the vehicle flow, image processing techniques are used. The results show higher accuracy in the pedestrian detection while the determined vehicle flow rate highly correlates with the real data. The main advantage of this system is its speed, and the pedestrian detection is done using a single image thus this system can be applied to any crossing independent of the background. en_US
dc.language.iso en en_US
dc.subject Image processing en_US
dc.title Fuzzy Signal Light Control System for Pedestrian Crossings en_US
dc.type Research abstract en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account