Research

Journal publications

Network-scale traffic prediction via knowledge transfer and regional MFD analysis

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, Jintao Ke $^*$, and Yafeng Yin. (2024). Optimization of ETA considering driver bundling behavior in on-demand food delivery market. Working paper.

An early version of this work will be presented in the 2024 INFORMS Annual Meeting in Seattle.

An early version of this work will be presented in the 104th Transportation Research Board (TRB) Annual Meeting (2025) in Washington, DC.

Zhang, Kaihang, Jintao Ke $^*$, and Xiaolei Wang. (2024). A three-sided network equilibrium model for on-demand food delivery services. Submitted.

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.

Zhang, Kaihang, Jintao Ke $^*$, Hai Wang, and Yafeng Yin. (2024). Operational strategy designs for on-demand food delivery services. Submitted.

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.

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