Abstract:
Traffic is now a growing concern in most cities around the world. Inadequate traffic control
wastes time and energy and causes harmful carbon emissions, road accidents and many
economic problems. This thesis focuses on a cooperative traffic control framework to
optimize travel time for better uniform traffic flow across multiple sections of Mirpur Road.
To reach the target, we first select three segments from Mirpur Road. The number of vehicles
up and down in each section will be calculated for the three scheduled times of the day. We
need to count traffic to get a better picture of the traffic scene. We will then convert the
calculated data into a PCU (passenger car unit) based on a standard reference. We will
determine the capacity of the road for the selected sections and we will also determine the
saturation flow for the selected intersections. Lastly, a comparison will be made between our
roadway capacity and saturation flow. Then compare the output which will help to represent
the current traffic conditions of the Mirpur road. However, while data computation may not
be decent enough to illustrate the actual situation, it may be helpful to have a true scale of
information to help traffic computation lead to digitalization. Thus, in future studies this
approach can be used to determine the method of automation of the traffic signals.
