CEE 4620 - Analysis and Control of Transportation Systems and Networks

Spring. 3 credits. Student option grading.

Prerequisite: undergraduate level linear algebra, probability theory & programming (Python), and a basic understanding of optimization, or permission of instructor. Co-meets with CEE 6620.

S. Samaranyake.

This course will cover the development and application of mathematical models and optimization techniques for the analysis and control of transportation systems and networks, with a focus on urban mobility. We will cover topics related to network routing, dynamic traffic models, static and dynamic traffic assignment, traffic control mechanisms and mobility-on-demand systems (including their connections to mass transit). Students will be expected to implement the algorithms covered in class during homework assignments and complete a final project.