Abstract:
This research offers a detailed investigation of traffic accident data, with an emphasis on finding
important patterns and trends pertaining to vehicle type, age, gender, and temporal variables. Data
from 10,000 accidents between July and December 2023 was analyzed using both manual
observation and hypothesis testing techniques. An initial overview of accident patterns can be
derived by the manual analysis which includes investigation of data through excel analysis,
however for rigorous and more clear analysis require hypothesis testing as manual analysis is often
subjected to bias and error. Therefore, deeper insights and significant relationships between
variables were analyzed by hypothesis testing, which included chi-square tests and regression
analyses. Important conclusions from hypothesis tests are the identification of buses and
motorbikes as high-risk vehicles; furthermore, substantial connections were found between vehicle
type, age groups, gender distribution, and accident frequency. With the use of the hypothesis tests,
these patterns were more statistically validated and supported recommendations for initiatives
aimed at improving road safety. This study underscores the need for targeted safety measures on
streets, particularly focusing on high-risk demographics and vehicle types, to improve traffic safety
in Dhaka
Description:
Supervised by
Dr. Nazmus Sakib,
Associate Professor,
Department of Civil and Environmental Engineering(CEE),
Islamic University of Technology(IUT),
Board Bazar, Gazipur-1704, Bangladesh.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Civil and Environmental Engineering, 2024
