Enhance traffic signal performance through deep learning neural network

In the face of persistent urban traffic congestion that leads to prolonged travel times, environment degradation, and economic inefficiencies, this project sets out tackle the issue head-on by harnessing the power of Deep Learning Neural Network (DLNNs) to revolutionize traffic signal optimization....

Full description

Bibliographic Details

Main Author:	Saw, Jun Chao
Format:	Dissertation
Language:	English
Published:	Universiti Teknologi Malaysia 2026
Subjects:	General Works::Technology::Highway engineering. Roads and pavements General Works::Science::Electronic computers. Computer science Sustainable Development Goals (SDG)::Sustainable Cities and Communities (SDG 11)
Online Access:	https://utmik.utm.my/handle/123456789/189802
Abstract	Abstract here