Traffic Congestion System

Traffic jam is a common issue faced by every capital city in the world. A lot of
system has been made in order to improve the traffic. One of them is ITIS that
initiated by City Hall Kuala Lumpur. By using operator in monitor and analyze the
traffic, ITIS has a high human dependency. The system itself has not maximized the
utilization of the latest technology. Due to the problem mentioned earlier, the author
proposed a new solution that provide more detailed information and reduce the
human dependency greatly on processing the traffic information. To automate the
system provided by MATLAB algorithm in order to improve the current-technology
in handling the traffic. To complete the project, four phases has been gone through:
planning, analyzing, designing and testing, and implementation. MATLAB has been
chosen to analyze the traffic and to create the user interface for traffic congestion
system. A web camera used to supportthe systemacquiring the traffic data. The data
gathering then done by using the road prototype. After the testing, the author
analyzed there are three main factors has influenced Traffic Congestion System:
camera, object/vehicles, and lighting. The angle and position of camera has
contribution in defining the Region of Interest (ROI) and number of pixels that will
be analyzed. Number and color of the object have a huge impact to the traffic
congestion. And lighting holds important role in Traffic Congestion System. It is
where extra lights will be needed in order to examine traffic in night mode since it
only works on the same light intensity.