IR. TS. DR. YUEN CHOON WAH
Department of Civil Engineering
Faculty of Engineering
yuencw@um.edu.myView CV | |
Publons | |
Scopus Link | |
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 also 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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Statistics
Annual Publications by Category
Publication
Summary of Budget vs Expenditure per vote for all research grants
Finance
Last 3 Projects
Project Title | Progress | Status |
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A Critical Study On The Development Of Sustainable Transportation Using Big Data And Artificial Intelligence: Indicators, Challenges And Strategic Priorities |
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on going |
Develop a Sustainable Transport System in Universiti Malaya Campus |
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on going |
The behaviour of motocyclist at multi-lanes roundabout under mixed traffic |
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on going |
This information is generated from Research Grant Management System |
Latest Publication
2023
Exclusive Bus Lane Allocation Considering Multimodal Traffic Equity Based on Bi-Level Programming
2023
Multi-Objective Intercity Carpooling Route Optimization Considering Carbon Emission
2023
Influence of Warm Mix Asphalt Additives on the Physical Characteristics of Crumb Rubber Asphalt Binders
2023
Improvement of trip generation rates for mixed-use development in Klang Valley, Malaysia
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