An intelligent transportation system for Singapore

In recent years, Singapore has been experiencing significant traffic jams as a result of the rise in private vehicle ownership. In order to address this concerning problem, the government has put in place different measures such as monitoring and detection infrastructure. These assist in recognizing...

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Bibliographic Details
Main Author: Guo, Beidi
Other Authors: Mohammed Yakoob Siyal
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181725
Description
Summary:In recent years, Singapore has been experiencing significant traffic jams as a result of the rise in private vehicle ownership. In order to address this concerning problem, the government has put in place different measures such as monitoring and detection infrastructure. These assist in recognizing and thus reducing road accidents by analyzing patterns. The main goal of this Final Year Project is to design and develop a program that perform data analysis which helps to monitor the road traffic condition at a desired location and time. The program was implemented using MATLAB. A vehicle detecting alogothrim is used to detect the vehicle count in different road condition and various weather as these are the necessary parameters to any of the Intelligent Transportation System (ITS). The results obtained will be discussed for future work and solution to improve traffic management.