CivE 719D

Transportation Network Modelling and Optimization

Description

This course introduces students to the theory and practice of transportation network analysis and optimization, with a focus on sustainability, resilience, and public health applications. The course blends analytical tools—including graph theory, routing algorithms, traffic assignment, and network optimization—with real-world case studies addressing accessibility, climate hazards, energy use, and equity. Students will gain hands-on experience using Python-based network analytics tools (via Google Colab) and will work with community partners to design and execute mini-projects that respond to authentic transportation challenges.

Learning Outcomes

- Critically explain how a transportation system’s influence on travelers manifests at the network level.
- Apply a suite of transportation network analytics tools to address defined engineering tasks.
- Analyze the pathways through which transportation systems interact with climate hazards, energy use, public health, and equity outcomes.
- Design and execute a network analysis project that responds to a real-world challenge in transportation sustainability, resilience, or public health.
- Differentiate analyses conducted at different spatial and temporal scales within transportation networks.

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• Co-Requisites
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Undergraduate Program(s)

Sections & Respective Instructors

A1 - 2026/2027 - Winter - Huiying (Fizzy) Fan