TY - GEN
T1 - Density based smart traffic control system using canny edge detection algorithm for congregating traffic information
AU - Tahmid, Taqi
AU - Hossain, Eklas
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - As the problem of urban traffic congestion intensifies, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. The current methods used such as timers or human control are proved to be inferior to alleviate this crisis. In this paper, a system to control the traffic by measuring the real-time vehicle density using canny edge detection with digital image processing is proposed. This imposing traffic control system offers significant improvement in response time, vehicle management, automation, reliability and overall efficiency over the existing systems. Besides that, the complete technique from image acquisition to edge detection and finally green signal allotment using four sample images of different traffic conditions is illustrated with proper schematics and the final results are verified by hardware implementation.
AB - As the problem of urban traffic congestion intensifies, there is a pressing need for the introduction of advanced technology and equipment to improve the state-of-the-art of traffic control. The current methods used such as timers or human control are proved to be inferior to alleviate this crisis. In this paper, a system to control the traffic by measuring the real-time vehicle density using canny edge detection with digital image processing is proposed. This imposing traffic control system offers significant improvement in response time, vehicle management, automation, reliability and overall efficiency over the existing systems. Besides that, the complete technique from image acquisition to edge detection and finally green signal allotment using four sample images of different traffic conditions is illustrated with proper schematics and the final results are verified by hardware implementation.
KW - Density based Traffic Control
KW - Edge Detection
KW - Image Processing in Traffic Control
KW - Smart Traffic Control
UR - http://www.scopus.com/inward/record.url?scp=85050612329&partnerID=8YFLogxK
U2 - 10.1109/EICT.2017.8275131
DO - 10.1109/EICT.2017.8275131
M3 - Conference contribution
AN - SCOPUS:85050612329
T3 - 3rd International Conference on Electrical Information and Communication Technology, EICT 2017
SP - 1
EP - 5
BT - 3rd International Conference on Electrical Information and Communication Technology, EICT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Electrical Information and Communication Technology, EICT 2017
Y2 - 7 December 2017 through 9 December 2017
ER -