16 Jun Student | Wenhua Jiang | Design, Modelling and Simulation
PhD students
Wenhua Jiang
Monash University (Supervisor: Inhi Kim)
PhD topic – Short-term rail passenger flow forecasting application
Research summary
Short-term rail passenger flow forecasting plays a vital role in the intelligent transportation system with the aim of enhancing real-time system management. With a predictive capability, transport systems can provide services in a proactive manner instead of a reactive manner, which is beneficial to increase the operational efficiency and capacity of the transportation system.
The overview of this research is to conduct short-term passenger demand prediction and crowd management at a metro system. The objectives of this study include developing a comprehensive methodology to handle rail transit missing data problem, establishing reliable models to predict station-based passenger arrivals and OD flows at the network-level, and exploring optimized strategies for implementation of train operational strategies and passenger flow control strategies.
Expected completion date
April 2021
Key achievements
- Active member to organize ITE-ANZ Student Leadership Summit in September 2018.
- Poster presenter at 98th Annual Meeting of the Transportation Research Board (Washington, D.C, 2019) for proposing imputation algorithm for rail transit missing data.
- Recipient of Monash Graduate Research International Travel Award (Sep 2019 – Feb 2020) for visiting MIT-NEU transit lab, USA.
Publications
Wenhua, J., Nan, Z., Paul, R., Inhi, K. Imputation of missing transfer passenger flow with self-measuring multi-task gaussian process. 98th Annual Meeting of the Transportation Research Board, Washington, D.C., January, 2019.