Teaching on MOTIF Lab

Traffic Flow Theory

Mon, 01 Jan 0001 00:00:00 +0000

Course overview

This course presents a comprehensive overview of vehicular traffic flow theory, emerging transportation AI technologies, and their integration in evaluating congestion and determining control strategies.

Starting from the basic concepts that define a traffic stream, the course covers the classical theories — the kinematic wave model, cellular automata, car-following models, and macroscopic traffic flow models. Beyond traditional theory, students are introduced to state-of-the-art traffic and self-driving simulation tools such as SUMO and CARLA, and to contemporary AI techniques including autonomous driving, reinforcement learning, and large language models. Their applications in traffic operations and implications for congestion management are discussed throughout.

AI for Mobility

Mon, 01 Jan 0001 00:00:00 +0000

The full course site is hosted separately at ai4mobility.github.io.

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