CivE 615
Traffic Flow and Network Modeling
Description
Traffic Flow and Network Modeling explores the two primary analytical approaches in transportation engineering, with direct applications in traffic operations, safety, and transportation planning. This course equips students with the theoretical knowledge and practical skills required to analyze dynamic traffic flow and manage complex urban transportation networks.Students will investigate the fundamental characteristics of urban traffic, learning how to determine long-term traffic patterns through static analysis and forecast short-term traffic behavior using dynamic analysis. While static modeling serves long-term infrastructure planning, dynamic modeling provides the short-term predictions and real-time optimization strategies critical for advanced traffic management and intelligent transportation systems (ITS). Ultimately, this course bridges theory and practice, preparing students to solve advanced transportation demand and supply challenges with professional-grade analysis.
Learning Outcomes
- Analyze Fundamental Traffic Characteristics: Evaluate and quantify macro- and micro-level traffic flow characteristics within complex urban transportation networks.- Apply Static Network Modeling: Implement static traffic assignment and analysis techniques to predict long-term traffic patterns for urban planning and policy evaluation.
- Develop Dynamic Forecasting Models: Formulate and utilize dynamic traffic flow models to generate short-term traffic forecasts and real-time optimization strategies.
- Evaluate Traffic Management Systems: Assess and design advanced traffic management and information system (ATMIS) strategies to mitigate urban congestion and improve traffic safety.
- Synthesize Demand and Supply Dynamics: Evaluate the complex relationship between transportation network supply (infrastructure) and user demand to optimize network-wide efficiency.
| Lecture | Seminar | Lab | Credits | Total AU |
|---|---|---|---|---|
| 3 | 0/1 | 0/1 | 3 | 37.8 |
| M % | NS % | CS % | ES % | ED % |
|---|---|---|---|---|
None defined
None defined
Undergraduate Program(s)
Sections & Respective Instructors
| B1 - 2026/2027 - Fall - Zhijun (Tony) Qiu |
| B1 - 2025/2026 - Winter - Zhijun (Tony) Qiu |