Zhengbing He
贺正冰
For any discussion, please feel free to contact me:
he dot zb at hotmail dot com
励志做一名德艺双馨的老学究,曲高和寡
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Traffic Flow Theory
Traffic Flow Theory is a foundational course that focuses on traffic dynamics and the essential mathematical models and tools used to analyze and predict vehicle movement and traffic congestion on roadways. The course provides a solid understanding of key concepts such as vehicle trajectories, capacity drop, fundamental diagrams. It particularly covers important models and tools, including car-following models, lane-changing models, kinematic wave theory, and cumulative count curves. These concepts and tools form the foundation for various studies and applications in transportation engineering and traffic management. Download: https://github.com/gotrafficgo/traffic_flow_theory_slides

- 0. Introduction to traffic flow theory
- 1. Trajectories and microscopic traffic variables
- 2. Macroscopic traffic variables
- 3. Important traffic characteristics
- 4. Kinematic wave theory
- 5. Cumulative count curve and queueing analysis
- 6. Cellular automata
- 7.1 Car-following models: Basic
- 7.2 Car-following models: Gipps model
- 8.1 Car-following models: Newell model
- 8.2 Car-following models: Data-driven model
- 9.1 Lane-changing models: Basic
- 9.2 Lane-changing models: Data-driven
- 10.1 Intersection control: Basic
- 10.2 Intersection control: Future
- 11.1 Emerging Technologies: Stop-and-Go Wave Suppression
Slides & Shared Materials
- [10/30/2023, UM Lowell] Cellular automata & its application in traffic simulation
- [11/03/2023, USF] Beautifying traffic via enhancing time-space traffic diagrams
- [01/18/2024, MIT/Cathy] My research in transportation: modeling, sensing, and optimization
- [06/18/2024] 2018年-面上项目-数据驱动的城市路网交通状态时空自推演模型
- [12/2/2024, SAE International] Large Language Models in Ground Mobility: Innovations and Challenges
Constructing Fundamental Diagrams
An automated tool that can reasonally construct the fundamental diagrams of traffic flow from large-scale vehicle trajectories
Interactive Traffic Simulation
Take the wheel in a simulation — in real time, users can control a vehicle: change lanes, accelerate, or decelerate
Download the code and have a try https://github.com/gotrafficgo/interactive_traffic_simulation
AI-Driven Route Choice
https://doi.org/10.48550/arXiv.2412.03338 (Converge starting about day 50)
Autonomous Intersection
Pedestrian shuttle service optimization for autonomous intersection management, (TR C, 2024)
Brian Driving
Personalizing Vehicle Speed with DR-EEG Decoding and Situational Embeddings (IEEE TIV, 2025)
A Traffic Simulation (ATS)
A microscopic traffic simulation package was developed using Visual C++ (2007~2011). The webpage of the project is https://atsimu.sourceforge.net
City Congestion Screening
Identification of Citywide Turn-level Intersection Congestion using only low-frequency probe vehicle data (TR C, 2019)
Other Pages: General Information, Slides and Presentations, List of All Publications

Zhengbing He (贺正冰)
My research lies at the intersection of urban mobility, systems engineering, and artificial intelligence, spanning from traditional topics such as traffic flow operations and control, sustainability, and resilience to emerging areas including data-driven modeling, autonomous driving, and large language models. In particular, I am a pioneer and long-term contributor in AI-driven transportation modeling and AV-empowered traffic mitigation, and an early innovator in generative AI applications in transportation
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