Research output per year
Research output per year
Personal profile
Biography
Chao works at the Planning and Transport Research Centre (PATREC), with experience in both academia and industry, where he participated in a range of research and consulting activities including some large-scale infrastructure and mining projects. Since joining PATREC, he has been leveraging his unique combination of experiences and skills to actively bridge the gap between industry, government and academia.
Funding overview
Enhanced short and longer term network performance prediction capabilities through data-driven analytics and simulation, iMOVE CRC
Assessment of feasibility and benefits of video analytics as applied to video footage from existing Main Roads WA cameras, Main Roads WA
RailSmart Wanneroo Planning Support System, Department of the Prime Minister and Cabinet Smart Cities and Suburbs Program
Addressing Future Uncertainties of Perth at 3.5 Million: What-If Scenarious for Mass Transit, PATREC
Mass Transit Plan for Perth at 3.5 Million and Beyond, WA Department of Transport
Assessment of feasibility and benefits of video analytics as applied to video footage from existing Main Roads WA cameras, Main Roads WA
RailSmart Wanneroo Planning Support System, Department of the Prime Minister and Cabinet Smart Cities and Suburbs Program
Addressing Future Uncertainties of Perth at 3.5 Million: What-If Scenarious for Mass Transit, PATREC
Mass Transit Plan for Perth at 3.5 Million and Beyond, WA Department of Transport
Previous positions
Senior Simulation Consultant, AECOM
Research Associate, Curtin
Research Associate, Curtin
Teaching overview
Transport Engineering
Research
Currently Chao mainly focuses on helping the transport industry with digital transformation. He adopts a multidisciplinary approach that combines modern computing, analytics and simulation techniques to solve problems in the following areas:
- Future transport (impact of Autonomous Vehicles and telecommuting etc.);
- Transport and traffic modelling and simulation;
- Transport and traffic engineering;
- Data analytics (Machine Learning etc.) for transport;
- Optimisation (Genetic Algorithms);
- Discrete event simulation for logistics and supply chain management
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Dive into the research topics where Chao Sun is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multiple Sensors Data Integration for Traffic Incident Detection Using the Quadrant Scan
Zaitouny, A., Fragkou, A. D., Stemler, T., Walker, D. M., Sun, Y., Karakasidis, T., Nathanail, E. & Small, M., 1 Apr 2022, In: Sensors. 22, 8, 2933.Research output: Contribution to journal › Article › peer-review
Open Access -
Simulating the effectiveness of wave dissipation by FollowerStopper autonomous vehicles
Cummins, L., Sun, Y. & Reynolds, M., Feb 2021, In: Transportation Research Part C: Emerging Technologies. 123, 102954.Research output: Contribution to journal › Article › peer-review
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A Vision-Based Pipeline for Vehicle Counting, Speed Estimation, and Classification
Liu, C., Huynh, D., Sun, C., Reynolds, M. & Atkinson, S., 2020, (E-pub ahead of print) In: IEEE Transactions on Intelligent Transportation Systems. p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Optimizing bus stop locations for walking access: Stops-first design of a feeder route to enhance a residential plan
Taplin, J. & Sun, Y., 24 Jan 2019, (E-pub ahead of print) In: Environment and Planning B: Planning and Design. p. 1 - 23 23 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Web of Science) -
Place vs. Node Transit: Planning Policies Revisited
Olaru, D., Moncrieff, S., McCarney, G., Sun, Y., Reed, T., Pattison, C., Smith, B. & Biermann, S., 2 Jan 2019, In: Sustainability. 11, 2, 14 p., 477.Research output: Contribution to journal › Article › peer-review
Open Access13 Citations (Scopus)
Datasets
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RailSmart
Robson, L. (Contributor), Biermann, S. (Contributor), Cardell-Oliver, R. (Contributor), Olaru, D. (Contributor), Martinus, K. (Contributor), Smith, B. (Contributor), Chi, S. (Contributor), Reed, T. (Contributor), Jie, F. (Contributor), Standing, C. (Contributor) & Sun, C. (Contributor), The University of Western Australia, 1 May 2019
Dataset
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A data-driven approach to improve roundabout modelling using drone video content analytics
Sun, C., Stemler, T., Small, M., Olaru, D. & Biermann, S.
1/04/22 → 31/03/24
Project: Research
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Real Time Model for Estimating Delays at Traffic Signals
Sun, C., Reynolds, M. & Biermann, S.
1/11/21 → 30/06/23
Project: Research
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Machine learning models for road maintenance investment decision making
Planning and Transport Research Centre PaTReC
1/11/21 → 30/06/23
Project: Research
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Integrated IoT, computer vision and machine learning technologies for smarter bridge health monitoring and prediction
Biermann, S., Sun, C., Li, J. & Mansoor, A.
1/09/21 → 28/02/23
Project: Research
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Australian Transport Research Cloud (ATRC) Platform
Biermann, S., Sun, C., Olaru, D. & Smith, B.
Australian Research Data Commons ARDC
1/01/21 → 29/12/23
Project: Research
Press / Media
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How we travel in real time: Perth's public transport hotspots revealed
10/07/19
5 Media contributions
Press/Media: Press / Media
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UWA research finds park and rides at train stations are key to reducing Perth congestion
25/11/18
1 Media contribution
Press/Media: Press / Media