Abstract:
Traffic congestion is a critical concern in most cities. Inefficient traffic control
wastes time and fuel and causes harmful carbon emissions, road accidents, and
many economic problems. This thesis focuses on a cooperative traffic control
framework for optimizing the travel time also for a better uniform traffic Flow
in multiple intersections of Mirpur Road. To reach the goal, we firstly select
four intersections from Mirpur road. The number of upward and downward
vehicles in each intersection will be calculated for three scheduled times of the
day. We need to count traffic volume in order to better portrait the congestion
scenario. Then we shall transform the count data to PCU (Passenger Car Unit)
based on a standard reference. At the same time, each intersection co-ordinate
has to be extracted to draw the polygon line using ArcGIS application in order
to simulate the traffic volume dynamically over the days of data collection.
Finally, we will obtain the simulation output which will help to represent the
current traffic situation on the Mirpur road. However, the data count may not
be decent enough to portrait the actual situation yet this could be a helpful
approach for proceeding towards the digitalization of the traffic count on a real
scale. Thus, in future studies this approach can be utilized to determine the
procedure for automation of traffic signals as well as implementing state of the
art concepts for an alleviated congestion scenario.
