Transport Systems & Environment Lab

Research at the TSE Lab helps to improve our understanding between the real-world operation of transport systems and their measurable social, economic and environmental impacts.

Introduction

TSE Lab is led by Dr Simon Hu and is part of the ZJU-UIUC joint Institute at the Zhejiang University. Our areas of interest include Transport Systems, Autonomy, Environment, Logsitics. We have an interdisciplinary team of researchers, we are always keen to recruit new members.

Recent News

Expert Review Meeting on the Test Plan for the Zhejiang Province "Leading Geese" R&D Projects

On January 9, 2025, the “Leading Geese” R&D Project in Zhejiang Province hosted an expert review meeting at the …
Last updated on 1 min read

Celebrates Recent PhD Graduates

We are thrilled to announce that three excellent members of our lab have successfully defended their PhD dissertations and graduated on …
Last updated on 3 min read

Mid-term Review Meeting of Zhejiang Province "Leading Geese" R&D Projects

On July 26, 2024, the mid-term review meeting of the R&D project titled “Real-time Calculation and Intelligent Control of …
Last updated on 2 min read

TSE Lab @ ISTTT25

Dr. Simon Hu and PhD candidate Ms. Anke Ye from our lab attended the 25th International Symposium on Transportation and Traffic Theory …
Last updated on 2 min read

Our Team Members Participate in INSTR2023 Conference and Deliver Paper Presentation

From December 13-14, 2023, the 9th International Symposium on Transportation Network Resilience (INSTR2023) was held in Hong Kong. The …
Last updated on 1 min read
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Research Areas

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Selected Projects

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All Autonomy Systems Environment Logistics

Air Quality project - Toxicity Burden with Ambient PM2.5

Delay Prediction project - Spatiotemporal Models for Predicting Delays in Transportation Networks

MoST project - Vehicle Autonomy and Network Optimisation

Royal Society project - Urban Traffic Management and Control

TOD project - Transit-Oriented-Development Framework for Hangzhou

Meet the team

Principle Investigator

Avatar Simon
Hu

Assistant Professor

Researchers

Avatar Hongxu
Chen

Master Student

Machine Learning

Avatar Yuanyi
Chen

PhD Student

Dynamic Modeling of CPTNs

Avatar Qinru
Hu

PhD Student

Shared mobility

Avatar Yujin
Hu

Master Student

Deep Learning

Avatar Xinlong
Huang

Master Student

Intelligent Connected Vehicle

Avatar Siqi
Shu

PhD Student

Smart Mobility

Avatar Jiangyu
Wang

Master Student

Traffic Sensor

Avatar Kang
Wang

PhD Student

Traffic data analysis

Avatar Zongkun
Wu

Master Student

On-demand logistics system

Avatar Kaiyao
Xu

Master Student

Data analysis

Avatar Beinuo
Yang

Master Student

Traffic Simulation

Avatar Yuanbo
Yang

Master Student

Computer Vision

Avatar Shirong
Yao

Master Student

Deep Learning

Avatar Qianqian
Ye

Master Student

Traffic Data Analysis

Avatar Zhengyang
Zhang

Master Student

Deep Learning

Avatar Qishen
Zhou

PhD Student

Traffic data analysis

Avatar Bing
Zhu

PhD Student

Connected and Autonomous Vehicles

Alumni

Avatar Zhengqi
Chen

Avatar Jianghan
Hu

Avatar Junyi
Li

Avatar Song
Lian

Avatar Jianmiao
Liu

Avatar Qingyun
Liu

Avatar Zhen
Wang

Avatar Hanyu
Xin

Avatar Yuntao
Yang

Avatar Anke
Ye

Avatar Bin
Zhou

Recent Publications

(2025). MoGERNN: An Inductive Traffic Predictor for Unobserved Locations. Transportation Research Part C: Emerging Technologies.
(2025). CASAformer: Congestion-Aware Sparse Attention Transformer for Traffic Speed Prediction. Communications in Transportation Research.
(2024). Transit Signal Priority Strategy With Heterogeneous Graph-Based Deep Reinforcement Learning for Autonomous Public Transit Vehicles. IEEE Transactions on Intelligent Transportation Systems. DOI
(2024). Optimal Operation of Fast Charging Station Aggregator in Uncertain Electricity Markets Considering Onsite Renewable Energy and Bounded EV User Rationality. IEEE Transactions on Industrial Informatics. DOI
(2024). Modeling an on-demand meal delivery system with human couriers and autonomous vehicles in a spatial market. Transportation Research Part C: Emerging Technologies. DOI
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Recent Conferences

(2024). Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques. 2024 IEEE Intelligent Vehicles Symposium (IV).
(2024). Queue Profile Identification at Signalized Intersections with High-Resolution Data from Drones. 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). DOI
(2024). Traffic Emission Estimation and Modelling at Urban Intersections Using High-Resolution UAV-Based Video. 2024 Forum for Innovative Sustainable Transportation Systems (FISTS).
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