Abstract:
Traffic congestion has become a big problem now days all around the world. Especially in a
country like Pakistan that is still under development, it presents a big problem and
unfortunately we do not have any solution to it. So this project is an effort to implement a
system that would at least present a model applying which this problem can be overcome.
In Pakistan the hours of 7am to 9am and 11am to 2pm are the hours when there is the most
rush on the roads, since most of the schools, colleges and offices have the same timings. So
to get minimum traffic rush the solution is that we all use maps in our phones to find
directions for the routes that are unknown to us, so we devise a mechanism that the routes
calculated also account for the congestion of traffic on the roads. Since the congestion is the
problem mostly for the Main Roads, because of the fast traffic and traffic lights, so if the
congestion on the main roads is considered and a route is selected on the basis of
congestion then it would immensely reduce the travelling time.
A Traffic Loop Detector is used to calculate the number of cars passed in a given time, and
then send that data to mobile application that calculates the route with least congestion
using a heuristic based approach. The project can be synchronized with the traffic cameras
that will calculate the traffic where there is absence of Loop Detector, and send it to the
application, incorporating the work done before. The project introduces a working
prototype that can be implemented for proper routing.
