With the constant escalation in vehicular traffic, prevailing traffic management solutions have become incompetent.
Urbanization has led to an upsurge in traffic jams and accidents in major cities. In order to entertain the growing needs of current
transport systems, there is a demand for an Intelligent Transport System. Our system results distributed collaborative traffic congestion
detection and dissemination system that uses GPS and Accelerometer. Economy, the environment and the overall quality of life has
been adversely affected by Traffic congestion. Now it’s peak time to adequately govern the traffic congestion obstacle. Video data
analysis, infrared sensors, inductive loop detection, wireless sensor network, etc are some of the pre-existing traffic management
mechanisms available across the worldwide. All above mentioned mechanisms are compelling techniques for smart traffic
management. The installation time, the cost incurred for the installation and high maintenance of the system are some of the major
issues associated with these systems. Hence coupling of newly introduced system comprising of GPS and Accelerometer with the
existing signaling system can be a masterstroke to smart traffic management in real time situations. Need of less time for installation
and lesser costs in comparison to other methods of traffic congestion management will act as agamechanger technology.
Implementation of this new technology will cause reduction in traffic congestion. Early detection of hindrance will lead to take
preventive measures in advance resulting in time saving and cash of the driver.
Published In:IJCSN Journal Volume 6, Issue 3
Date of Publication : June 2017
Pages : 362-367
Figures :01
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Shubham Gupta : Under-graduate student for B.Tech degree for
Information Technology in Bharati Vidyapeeth Deemed University,
major in Web Development.
Maneesh Ranjan : Under-graduate student for B.Tech degree for
Information Technology in Bharati Vidyapeeth Deemed University,
major in Web Development.
T. B. Patil : Assistant Professor of College of Engineering in
Bharati Vidyapeeth Deemed University, Department of Information
Technology interested in Computer network, multi-media and Image
Processing.
Prof. Supriya C. Sawant : Assistant Professor of Smt. Kashibai
Navale, College of Engineering, Department of Electronics and
Telecommunication in Pune University interested in Signal System
and Image Processing.
The proposed system focuses on efficient administration
of traffic congestion. The proposed system consisting of
GPS and Accelerometer will eradicate the deficiency of
the previously discovered systems such as high
implementation cost, dependency on the environmental
conditions, etc. Investment for the working of this system
will be cheaper than the existing system. Thus the overall
system will enhance the guiding and monitoring process
to simplify things for end user. There is an urgent need
to consider these modern ways to cope up with needs of
modern urban living.
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