| dc.description.abstract | Most Asian growing cities, including Ho Chi Minh city, are experiencing an
unchecked increase in the usage of private transportation. Because of the over
predominance of motorcycles and vehicles in South-East Asian cities, traffic
congestion there has caused substantial time and financial losses as well as
environmental impact. Authorities in Ho Chi Minh city conducted research and
proposed solutions to address the issue at numerous intersections where traffic jams
frequently occur, particularly Hang Xanh intersection, which is thought to be the
intersection of two busy roads Dien Bien Phu (DBP) and Xo Viet Nghe Tinh
(XVNT), which pass through numerous areas. With the use of discrete event
simulations, this thesis aims to decrease average wait times and the number of
queues during traffic jams. Datasets, characteristics, and key indicators are specified
in the ARENA software in line with the simulation model, and real-world data is
gathered and processed to suit the model in order to create useful and usable models.
Additionally, our thesis will be innovative in that it will examine the pollution
problem at the Hang Xanh intersection by applying the volume of emissions formula
and the noise level equation. The outcome should be able to describe the problematic
situation, the typical waiting time, and the number of people in line during peak
hours. From there, further operation research is done to find workable solutions and
suggestions to improve the traffic system's flow, prevent traffic jams, improve
infrastructure, reduce traffic accidents and as well as be applicable to address related
real-life problems in the future. | en_US |
