In today's world, traffic jams during rush hours is one of the major concerns. During rush hours, emergency vehicles like Ambulances, Police cars and Fire Brigade trucks get stuck in jams. Due to this, these emergency vehicles are not able to reach their destinations in time, resulting into a loss of human lives. We have developed a system which is used to provide clearance to any emergency vehicle by turning all the red lights to green on the path of the emergency vehicle, hence providing a complete green wave to the desired vehicle. A `green wave' is the synchronization of the green phase of traffic signals. With a `green wave' setup, a vehicle passing through a green signal will continue to receive green signals as it travels down the road. Around the world, green waves are used to great effect. Often criminal or terrorist vehicles have to be identified. In addition to the green wave path, the system will track a stolen vehicle when it passes through a traffic light. In contrast to any traditional vehicle tracking system, in which the Global Positioning System (GPS) module requires battery power, our tracking system, installed inside the vehicle, does not require any power. The information regarding the vehicle has to be updated in the system database. So, it is an autonomous 2-tier system which will help in the identification of emergency vehicles or any other desired vehicle. It is a novel system which can be used to implement the concept of the green wave.
[1]
Tinku Acharya,et al.
Image Processing: Principles and Applications
,
2005,
J. Electronic Imaging.
[2]
Roy Want,et al.
An introduction to RFID technology
,
2006,
IEEE Pervasive Computing.
[3]
S. Preradovic,et al.
RFID Transponders
,
2008,
IEEE Microwave Magazine.
[4]
Guojiang Shen,et al.
Urban Traffic Trunk Two-direction Green Wave Intelligent Control Strategy and Its Application
,
2006,
2006 6th World Congress on Intelligent Control and Automation.
[5]
Guozhen Tan,et al.
Urban arterial road green-wave control based on genetic algorithm
,
2008,
2008 7th World Congress on Intelligent Control and Automation.