@article{MAKHILLJEAS2017122215050,
    title = {Smart Traffic Signal by Digital Image Processing using PCA Algorithm and
Edge Detection Techniques},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {22},
    pages = {6076-6082},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.6076.6082},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.6076.6082},
    author = {R. and},
    keywords = {MATLAB,ITS,image database,image processing,edge detection,PCA},
    abstract = {Urban traffic is an ever-growing issue in major metropolitan cities and despite advancements in
automotive engineering, traffic signals all over the world have not adapted to the times. In this study,
implementation of a smart traffic signal on MATLAB using digital image processing is proposed. The procedure
mainly consists of four steps: image acquisition, RGB to gray conversion, image enhancement and image
matching using edge detection. This process would require a constant live-feed CCTV image of the traffic at
a particular intersection as a prerequisite, this image will continuously be compared with preset images and
compared. Accordingly, the duration the signal remains on or off can be determined based on the similarities
of the two images.}
    }