Dr Shiaw Yin Yong

shiawyin.yong@ubd.edu.bn

Assistant Professor, Faculty of Science and Research Associate, Institute of Applied Data Analytics



                         

Shiaw Yin is an Assistant Professor in the department of Mathematical Sciences at Universiti Brunei Darussalam where she has been a faculty member since 2003, a year after she graduated from her Bachelor of Science in Mathematics in the same university. Shiaw Yin completed her PhD in Civil and Environmental Engineering, and MSc in Operations Research, both at University of Southampton, UK. Her research interests lie in the area of operations research and intelligent traffic system, ranging from theory to design to implementation, with a focus on improving road safety and driver behaviour. She has collaborated actively with researchers in several other disciplines of operations research and engineering, particularly analysis on problems and interventions at certain road junctions in Brunei. She was the main researcher in the Traffic Light Dimming Project sponsored by Radix Traffic Limited, UK in 2012, and the Research Associate at CfTR from 2019 onwards.
Shiaw Yin is currently the Assistant Professor for undergraduate modules in operations research.

EDUCATION

PhD in Civil and Environmental Engineering (University of Southampton), MSc in Operational Research (University of Southampton), BSc in Mathematics (Universiti Brunei Darussalam)

RESEARCH INTERESTS

Driver Behaviour
Road safety
Intelligent traffic system
Driving simulation

FUTURE PROJECTS

Modeling driver decision at junction using driving simulator and censorized foot insole


Applications Invited
Master

Markov process based dilemma zone prediction


Applications Invited
Master
4

Scopus Publications

22

Google Scholar Citations

4

Google Scholar h-index

Scopus Publications

RECENT PUBLICATIONS

Classification of Driving Behaviour Using Machine Learning Methods at Signalized Intersections in Urban and Suburban Roads DOI: https://doi.org/10.1007/978-981-16-6332-1_36
Classification and Prediction of Driving Behaviour at a Traffic Intersection Using SVM and KNN DOI: https://doi.org/10.1007/s42979-021-00588-7
Identification and Classification of Driving Behaviour at Signalized Intersections Using Support Vector Machine DOI: https://doi.org/10.1007/s11633-021-1295-y
Pattern Mining Predictor System for Road Accidents DOI: https://doi.org/10.1007/978-3-030-63119-2_49
Extended investigation on road fatality in Brunei DOI: https://doi.org/10.1080/17457300.2018.1476381

TOP PUBLICATIONS

Investigating driver's behaviour on approaching a junction at the end of green time DOI: https://doi.org/10.13140/RG.2.1.1236.5929
Extended investigation on road fatality in Brunei DOI: https://doi.org/10.1080/17457300.2018.1476381
The Single-Vendor Multi-Buyer Integrated Inventory Problem: an Heuristic Solution Technique DOI: https://doi.org/10.1007/978-3-7643-8591-0_15
Identification and Classification of Driving Behaviour at Signalized Intersections Using Support Vector Machine DOI: https://doi.org/10.1007/s11633-021-1295-y
Pattern Mining Predictor System for Road Accidents DOI: https://doi.org/10.1007/978-3-030-63119-2_49
The influence of an amber warning system on driver behaviour in Brunei Darussalam https://www.researchgate.net/publication/331569735_THE_INFLUENCE_OF_AN_ADVANCED_AMBER_WARNING_SYSTEM_ON_DRIVER_BEHAVIOUR_IN_BRUNEI_DARUSSALAM

GRANT DETAILS

Modelling and identifying Driving Patterns based on Simulator and Sensor data for enhancing road safety
(Universiti Brunei Darussalam)
GRANT_NUMBER: UBD/RSCH/1.4/FICBF(b)/2018/002

CONSULTANCY

Part-time Teaching at School of Applied Sciences and Mathematics (SASM), UTB

Industry, Institute, or Organisation Collaboration

Universiti Teknologi Brunei
Radix Traffic Limited, UK

INDUSTRY EXPERIENCE

Traffic Light Dimming Project (Radix Traffic Limited, UK)

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Improve driver awareness of potential road hazards