Research output per year
Research output per year
Personal profile
Research interests
- Multi-modal Transportation Network Modelling
- Data-driven Modelling and Optimisation
- Machine Learning and Data Mining in Infrastructure Systems
- Transportation Operation and Management
- Dynamic Large-scale Network Simulation
- Urban Computing
- Smart Cities
Education/Academic qualification
Master of Science in Civil and Environmental Engineering, Carnegie Mellon University
Master of Science in Machine Learning, Carnegie Mellon University
Doctor of Philosophy in Civil and Environmental Engineering, Carnegie Mellon University
Bachelor of Science in Pure and Applied Mathematics, Tsinghua University
Bachelor of Engineering in Civil Engineering, Tsinghua University
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
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High-resolution traffic sensing with probe autonomous vehicles: A data-driven approach
Ma, W. & Qian, S., 2 Jan 2021, In: Sensors (Switzerland). 21, 2, p. 1-35 35 p., 464.Research output: Journal article publication › Journal article › Academic research › peer-review
Open Access1 Citation (Scopus) -
Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method
Zhang, J., Che, H., Chen, F., Ma, W. & He, Z., Mar 2021, In: Transportation Research Part C: Emerging Technologies. 124, 102928.Research output: Journal article publication › Journal article › Academic research › peer-review
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Estimating multi-class dynamic origin-destination demand through a forward-backward algorithm on computational graphs
Ma, W., Pi, X. & Qian, S., Oct 2020, In: Transportation Research Part C: Emerging Technologies. 119, 102747.Research output: Journal article publication › Journal article › Academic research › peer-review
Open Access -
A deep learning approach to real-time parking occupancy prediction in transportation networks incorporating multiple spatio-temporal data sources
Yang, S., Ma, W., Pi, X. & Qian, S., Oct 2019, In: Transportation Research Part C: Emerging Technologies. 107, p. 248-265 18 p.Research output: Journal article publication › Journal article › Academic research › peer-review
18 Citations (Scopus) -
A general formulation for multi-modal dynamic traffic assignment considering multi-class vehicles, public transit and parking
Pi, X., Ma, W. & Qian, Z. S., Jul 2019, In: Transportation Research Part C: Emerging Technologies. 104, p. 369-389 21 p.Research output: Journal article publication › Journal article › Academic research › peer-review
9 Citations (Scopus)