Abstract:
Increasing world population demands transportation and that re
ects huge road tra c
in metropolitan cities and consequently needs signi cant research for smooth tra c man-
agement system. In this regard, a new Intelligent Tra c Management System (ITMS)
was proposed and implemented- where a path from source to destination was selected
by Ant Colony algorithm and the roads segment's weight were calculated using Deep-
Neuro-Fuzzi cation and C-Means clustering framework on real time weather e ects and
road conditions. However, the ITMS is still running on hypothesis and does not have any
empirical evidence of working. Therefore, the ITMS needs some comprehensive analysis,
other means some simulation or emulation is demanded to proof that the hypothesis is
valid. In this thesis, we are going to explore the whole ITMS in realistic fashion with a
micro tra c and open source tra c simulation model (SUMO) whics helps to explore
tra c related issues including route choice on optimum form. Results highlight that
dynamic SUMO model is able to simulate ITMS in a realistic situation, using an origin
destination matrix based on road segment weight values and routing algorithms.
Description:
This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh
