Research
Member of the Smart Mobility Lab @ HKU. Student Fellow of The University of Hong Kong Institute of Transport Studies.
Journal publications
Zhang, Kaihang, Jintao Ke, Hai Wang, and Yafeng Yin. 2025. "Tactical Operations of Service Region Dimensioning, Bundling, and Matching for On-Demand Food Delivery Services." Transportation Research Part C: Emerging Technologies. In Press.
Li, Junyi, Ningke Xie, Kaihang Zhang, Fangce Guo, Simon Hu, and Xiqun (Michael) Chen. 2022. "Network-Scale Traffic Prediction via Knowledge Transfer and Regional MFD Analysis." Transportation Research Part C: Emerging Technologies 141 (August): 103719. https://doi.org/10.1016/j.trc.2022.103719.
Working papers
*: Corresponding author
Zhang, Kaihang, Ce Wang, Jintao Ke $^*$, and Yafeng Yin. Optimization of ETA considering driver bundling behavior in on-demand food delivery market. Working paper.
- An early version of this work has been presented in the 2024 INFORMS Annual Meeting in Seattle.
- An early version of this work has been presented in the 104th Transportation Research Board (TRB) Annual Meeting (2025) in Washington, DC.
Zhang, Kaihang, Jintao Ke $^*$, and Xiaolei Wang. A three-sided network equilibrium model for on-demand food delivery services. Under review.
- An early version of this work has been presented in the 27th International Conference of Hong Kong Society for Transportation Studies (2023) in Hong Kong.
- An early version of this work has been presented in the 103rd Transportation Research Board (TRB) Annual Meeting (2024) in Washington, DC.
Conference proceedings
Zhang, Kaihang, Junyi Li, Qishen Zhou, and Simon Hu. 2022. “Short-Term Traffic Prediction with Balanced Domain Adaptation.” In 22nd COTA International Conference of Transportation Professionals, 699–711. Changsha, Hunan Province, China. (Online): American Society of Civil Engineers.
Li, Junyi, Kaihang Zhang, Loutao Shen, Zhebing Wang, Fangce Guo, Panagiotis Angeloudis, Xiqun Michael Chen, and Simon Hu. 2021. “A Domain Adaptation Framework for Short-Term Traffic Prediction.” In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 3564–69. Indianapolis, IN, USA: IEEE.
Zhou, Qishen, Roozbeh Mohammadi, Weiming Zhao, Kaihang Zhang, Lihui Zhang, Yibing Wang, Claudio Roncoli, and Simon Hu. 2021. “Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones.” In 7th International IEEE Conference on Models and Technologies for Intelligent Transportation Systems. Aquila Atlantis Hotel, Heraklion, Crete, Greece. (Online): IEEE Xplore.
Some codes
Food delivery simulator
- Agent-based simulation with further possibility of secondary development
- Demo based on Hong Kong island (a topological network) and Singapore (real-world geometric road network)
- Introduction and more details https://khzhang2.github.io/project/FD_simulator/
Simulate VRP
Projects during master’s study at Berkeley
- Air Traffic Demand Forecasting Using Generative Models such as Variational Autoencoder (CE 260&290 Project), 2022 Spring
- Public Transportation Ridership Prediction Considering Spatial Heterogeneity (CE 259 Project), 2022 Spring
- Impact of Safty Consideration for Choice of Transportation Modes (CE 264 Project), 2022 Spring
- Transit Demand Generation Study Using Multilayer Perceptron (CE 299 Project), 2022 Spring
- A Comparative Study of the Network Partition Algorithms (K Means, Louvain, Girvan–Newman; CE 263N Project), 2021 Fall
- Public Transportation Planning and Optimization Using Continuum Approximation—A Case Study in the Chicago Area (CE 299 Project), 2021 Fall
- Short-term Traffic Forecasting Under Data Insufficiency Using Knowledge Transfer (Domain Adaptation), 2021 Fall
Projects during undergraduate study at ZJUI
- Queue Profile Identification at a Signalized Intersection Using Aerial Images
- Real-time Queue Length Estimation at an Isolated Signalized Intersection Using Kalmen Filter
- Optimizing the Trajectrary of Connected and Autonomous Vehicles for Eco-driving (Using VISSIM-COM)
- Investigating Crowd Dynamics (Pedestrian Simulation) for Emergency Evacuation