This paper is published in Volume-5, Issue-6, 2019
Area
Computer Science
Author
Ashwami Dalvi
Co-authors
Mrunal Ghadge, Sharvari Sonak
Org/Univ
Vidyalankar Institute of Technology, Mumbai, Maharashtra, India
Pub. Date
10 December, 2019
Paper ID
V5I6-1244
Publisher
Keywords
Traffic control system, Image Processing, Count of vehicles, Traffic Signal Timer

Citationsacebook

IEEE
Ashwami Dalvi, Mrunal Ghadge, Sharvari Sonak. Adaptive traffic signal, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ashwami Dalvi, Mrunal Ghadge, Sharvari Sonak (2019). Adaptive traffic signal. International Journal of Advance Research, Ideas and Innovations in Technology, 5(6) www.IJARIIT.com.

MLA
Ashwami Dalvi, Mrunal Ghadge, Sharvari Sonak. "Adaptive traffic signal." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.

Abstract

The current traffic control systems in India are inefficient due to randomness in the traffic pattern throughout the day. The traffic signal timers have a fixed time period to switch traffic between different directions. Due to this, the vehicles have to wait for a long time span even if the traffic on the road is relatively less. If the traffic signal timer can be programmed to be manipulated with the continuously varying traffic density i.e. the count of vehicles on the road, the problem of traffic congestion can be reduced to significantly lower levels. Thus, the objective is to design an adaptive traffic control system algorithm with the use of an image processing system.
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