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IR. TS. DR. YUEN CHOON WAH

Department of Civil Engineering

Faculty of Engineering

yuencwum.edu.my
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Biography

Ir. Ts. Dr. Yuen Choon Wah is a senior lecturer in the Department of Civil Engineering. He is a registered Professional Engineer with the Board of Engineers Malaysia, and a registered Professional Technologist with the Malaysia Board of Technologists. Currently, he is the Pro Tem Head of Smart Mobility Centre of Excellence, and the Head of Centre for Transportation Research in the University of Malaya, a research centre that provides technical opinion and consultancy services in Transport Engineering beside actively involved in R&D projects. His areas of expertise are traffic engineering, traffic safety & sustainable transport study.


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Last 3 Projects
Project Title Progress Status
Develop A Sustainable Transport System In Universiti Malaya Campus
on going
Modernisation, Development And Capacity Building Of Master Curriculum In Traffic Safety In Asian Universities (asiasafe)
on going
A Critical Study On The Development Of Sustainable Transportation Using Big Data And Artificial Intelligence: Indicators, Challenges And Strategic Priorities
on going
This information is generated from Research Grant Management System
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Latest Publications
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2023

Multi-Objective Intercity Carpooling Route Optimization Considering Carbon Emission

2023

Improvement of trip generation rates for mixed-use development in Klang Valley, Malaysia

2023

Exclusive Bus Lane Allocation Considering Multimodal Traffic Equity Based on Bi-Level Programming

2023

Influence of Warm Mix Asphalt Additives on the Physical Characteristics of Crumb Rubber Asphalt Binders

2018

Sustainable Transport System in University of Malaya Campus: Study on Improving the Campus Shuttle Bus Service and Promote Non-Motorised Transport Mode

2011

Time Headway Study on Exclusive Motorcycle Lane

2009

Real Time Video Vehicle Detection and Classification System

2007

Vision Based Vehicle Speed Detection and Classification

2006

Preliminary Study on Video Vehicle Detection and Classification