Dr Shiaw Yin Yong

shiawyin.yong@ubd.edu.bn



                         

Shiaw Yin is an Assistant Professor in the department of Mathematical Sciences at Universiti Brunei Darussalam. She earned her Bachelor of Science in Mathematics from the same university in 2002, followed by a MSc in Operations Research, and a PhD in Civil and Environmental Engineeringfrom the University of Southampton, UK. Her research focuses on operations research and intelligent traffic systems, with a particular emphasis on improving road safety and driver behaviour. She collaborates with researchers from various disciplines to analyse problems and implement interventions at specific road junctions in Brunei. Shiaw Yin led the Traffic Light Dimming Project sponsored by Radix Traffic Limited, UK in 2012 and has been a Research Associate at CfTR since 2019. She currently teaches undergraduate modules in operations research at Universiti Brunei Darussalam.

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


Applications Invited
Master

Markov process based dilemma zone prediction


Applications Invited
Master
4

Scopus Publications

44

Google Scholar Citations

4

Google Scholar h-index

2

Google Scholar i10-index

Scopus Publications

RECENT PUBLICATIONS

The role of Advance Amber Warning Signal in enhancing driver decision-making: A comparative study in Brunei Darussalam DOI: https://doi.org/10.1016/j.treng.2023.100225
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

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

Centre for Transport Research (CfTR), Brunei
Universiti Teknologi Brunei
JKR, Brunei
Radix Traffic Limited, UK
DSTL, UK

INDUSTRY EXPERIENCE

Traffic Light Dimming Project (Radix Traffic Limited, UK)

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

Improve driver awareness of potential road hazards