Abstract: The increase in the number of vehicles in the last two decade, has led into such traffic congestion such that people are stuck in traffic for hours, this is the major problem in metro cities. We need smart traffic for smart cities. This paper proposes a solution for the above problem in the form of an embedded system which uses swarm intelligence. The proposed system captures images of traffic on camera and through edge detection processes the images for incoming traffic and directs the traffic lights. The traffic lights are interconnected through Wi-Fi and through swarm intelligence the traffic is routed to different routes to avoid congestion. Another important feature is added in this paper is the traffic updates which we will receive on our android phones which will help us to find the less congestion routes for our travel. Through App-Inventor an application is designed which will provide the traffic updates to registered users, who only can use the Wi-Fi network to find the least congestion route for their faster travel.
Keywords: App-Inventor, Embedded System, Image Processing, Swarm Intelligence.
Title: Embedded Swarm Traffic Controller Based on Image Processing and Android Application
Author: Santwana Panda, Anjali M. Patki, Kedar Hushing
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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