Abstract:
In Sri Lanka, Traffic congestion has been a critical problem over the years especially
in urban areas which occurs mostly in peak hours and hence it has badly affected day
to day life of the people. It increases fuel wastage, vehicle maintenance due to being
in the traffic and consequently become responsible for loss of man hours and higher
air pollution which will put people’s health in danger in near future. As per the
background research, the facts available on this traffic management area are lesser. It
is found that there is no effective and accurate data collection mechanism and data
analysing methods are currently being in use.
The prime mission of “Decision Support Traffic Controlling System” is to provide a
solution for the current problem of traffic congestion in Sri Lanka. When it comes to
the existing researches, majority ofthem are fully based on the GPS devices and make
the conclusions. The uniqueness of this system is, it not only focusing on GPS data,
but also considers accidents, events and road development information. Therefore
accuracy of the result of real time analysis is higher compared to the other existing
systems. In addition to that, all above data collected for real time analysis are used in
prediction module. Therefore accuracy ofthe predictions will get increased gradually.
These predictions allow the users to arrange their future travel schedules avoiding
high traffic areas and also it helps the traffic police in decision making.
The system contains mobile application, web application, common backend and a
database. Required data will be gathered from Police, Road Development Authority
(RDA), GPS devices and event organizers. Some of the technologies used for
implementation are Java, Spring framework, MongoDB, Google API, Google Map
Direction API, Minitab and Time series model.
