Course description
Intro to Traffic Flow Modeling and Intelligent Transport Systems
Travelers in large cities experience significant congestion during their everyday trips. Expanding roads and infrastructure is not a long-lasting remedy to urban congestion. This course will focus on understanding traffic congestion and will explore ways to improve mobility through advanced traffic management schemes. As we all experience, congestion is a highly complex process without a single explanation. An interesting question is: “Can we describe these complex interactions with simple and elegant ways? “
The course will introduce the fundamentals of traffic flow theory and will describe different traffic flow models in micro- and macroscopic level. Network-level aggregated modeling and control approaches are introduced based on the concept of the Macroscopic Fundamental Diagram (MFD). Advanced traffic management schemes (such as adaptive traffic signal control, ramp metering, variable speed limits) are discussed. User equilibrium analysis is introduced through applications of route and departure time choices. Relative reading material, exercises and real data sets are provided.
Upcoming start dates
Suitability - Who should attend?
Prerequisites:
Analysis & Linear Algebra (1st year BSc level)
Outcome / Qualification etc.
What you'll learn
- Understand key concepts and the physics of the transport phenomena
- Familiarize with major elements of transportation systems
- Use simple and elegant models to identify the causes of congestion
- Propose traffic management strategies to alleviate congestion
- Apply the fundamentals of transportation engineering in real case studies
Training Course Content
- Traffic Flow Basics
- Continuum Models of Traffic Flow
- Traffic Modeling and Control for Freeway Systems
- Macroscopic Fundamental Diagram (MFD)
- Network-level Traffic Management
- Control of Traffic Signals
- Equilibria in Transportation
Course delivery details
This course is offered through Swiss Federal Institute of Technology Lausanne, a partner institute of EdX.
5-6 hours per week
Expenses
- Verified Track -$199
- Audit Track - Free