Zhengbing He

Professor in Autonomous and Intelligent Systems
University of Nottingham Ningbo China

Google Scholar GitHub LinkedIn Email: he dot zb at hotmail dot com
Office: IAMET 322, UNNC Campus

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