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Traffic Sensing Through MATLAB
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Traffic Sensing Through MATLAB

Category : GSM-GPS


Sub Category : Image Processing


Project Code : ITGP03


Project Abstract

With the advances in wireless communication and mobile computing, a future infrastructure less elf-organizing traffic information system, where vehicles can form a network for exchanging traffic information among them, will soon be realized. In an infrastructure less traffic information system, vehicles will act as mobile sensors and collect the traffic data as they travel. Smartphone’s are a great choice for traffic sensing devices as they are now equipped with a variety of sensors such as global positioning system (GPS) receiver, accelerometer, gyroscope,

Camera and microphone. These sensors can be exploited to collect traffic data. Although there are many types of sensors available for traffic sensing, past studies have mainly focused on a GPS receiver. However, a GPS receiver consumes a lot of power, and hence it can significantly shorten the battery life. In this paper, we explore a possibility of using other types of sensors on a Smartphone for traffic sensing. Particularly, we investigate whether it is possible and how accurate it is to estimate the average speed of a vehicle from the data sensed by an accelerometer. Two estimation methods will be introduced and their accuracy will be evaluated. The Embedded Technology is now in its prime and the wealth of Knowledge available is mind-blowing. Embedded System is a combination of hardware and software. Embedded technology plays a major role in integrating the various functions associated with it. This needs to tie up the various sources of the Department in a closed loop system. This proposal greatly reduces the manpower, saves time and operates efficiently without human interference. Based on statistics from the World Health Organization (WHO), there are more than 161 million visually impaired people around the world, and 37 million of them are blind. Choosing clothes with suitable colors and patterns is a challenging task for blind or visually impaired people.


Existing System

Proposed System

 

Ø  In the early system there is no way to estimate the traffic level.

Ø  There is no way to transmit the traffic level to the driver

 

Drawbacks of  existing system:

Ø   Pollution created

Ø   Loss of time

Ø  Inefficient traffic system

 

 

Ø   In the proposed system there is way to estimate the traffic level.

Ø   Zigbee is used to transmit the information about traffic level

Advantage of proposed system:

Ø  Enhanced safety

Ø  Saves the human life

Ø  Major accident avoided

Ø  Biometric authentication

 
 
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