Research Output per year
Personal profile
Biography
Chao is a research fellow 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 multidisciplinary research by applying modern computing and simulation techniques to the following areas:
Future transport (impact of Autonomous Vehicles and telecommuting etc.);
Transport and traffic modelling and simulation;
Data analytics for traffic/transport;
Intelligent Transport Systems (ITS);
Optimisation (applied evolutionary algorithms);
Discrete event simulation for logistics and supply chain management.
Future transport (impact of Autonomous Vehicles and telecommuting etc.);
Transport and traffic modelling and simulation;
Data analytics for traffic/transport;
Intelligent Transport Systems (ITS);
Optimisation (applied evolutionary algorithms);
Discrete event simulation for logistics and supply chain management.
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2006 2019
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, In : Environment and Planning B: Planning and Design. p. 1 - 23 23 p.Research output: Contribution to journal › Article
walking
resident
choice of location
salesman
planning
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
Open Access
Adapting principles of developmental biology and agent-based modelling for automated urban residential layout design
Sun, Y. & Taplin, J., Sep 2018, In : Environment and Planning B: Planning and Design. 45, 5, p. 973-993Research output: Contribution to journal › Article
Open Access
File
developmental biology
layout
biology
road
modeling
A flexible accessibility analysis tool for enhanced urban analytics
Sun, Y., McCarney, G., Sabri, S., Amirebrahimi, S., Agunbiade, M., Chen, Y., Keshtiarast, A., Kalantari, M., Bright, C., Olaru, D., Reynolds, M., Rajabifard, A. & Biermann, S., 27 Nov 2017, Australasian Transport Research Forum 2017 Proceedings. New Zealand: Australasian Transport Research ForumResearch output: Chapter in Book/Conference paper › Conference paper
accessibility
infrastructure
spatial resolution
labor
GIS
Road to autonomous vehicles in Australia: an exploratory literature review
Sun, Y., Olaru, D., Smith, B., Greaves, S. & Collins, A., Mar 2017, In : Road & Transport Research. 26, 1, p. 34 47 p.Research output: Contribution to journal › Review article
Open Access
File
Projects 2016 2020
Enhanced short and longer term network performance prediction capabilities through data-driven analytics and simulation
Biermann, S., Sun, C., Liu, W., Reynolds, M. & Olaru, D.
1/07/17 → 30/06/20
Project: Research
Using Big Data to Predict Incidents on Roads
Sun, C., Reynolds, M., Liu, W. & Stemler, T.
1/10/18 → 31/03/19
Project: Research
Peer Review of MRWA’s Value Driver Model - Supplementary analysis in support of the approved iMOVE CRC project: Enhanced short and longer term network performance prediction capabilities through data-driven analytics and simulation
Sun, C., Olaru, D., Taplin, J. & Biermann, S.
7/05/18 → 3/08/18
Project: Research
Assessment of feasibility and benefits of video analytics as applied to video footage from existing Main Roads WA cameras
Reynolds, M., Huynh, D., Sun, C. & Liu, C.
1/01/18 → 31/12/18
Project: Research