• 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, kinetic wave theory, and cumulative count curves. These concepts and tools form the foundation for various studies and applications in transportation engineering and traffic management.
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    • 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

    Download: https://github.com/zhengbinghe/traffic_flow_theory

  • 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)