MOOC

Intro to Traffic Flow Modeling and Intelligent Transport Systems

Description

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.

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Description

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Lectures in this MOOC (26)

Ramp Metering: Applications MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers the concept and benefits of ramp metering, its implementation issues, and case studies from Amsterdam and Australia.

Real-time traffic management MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers real-time traffic management, including traffic flow modeling, control strategies, sensors, and public transport priority.

Traffic flow modeling: Developing and testing traffic models MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers the fundamentals of traffic flow modeling, including model classification and testing techniques.

Macroscopic Fundamentals Diagram, Physical Properties MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers the Macroscopic Fundamental Diagram in traffic flow modeling, discussing its physical properties, regularity conditions, and congestion propagation.

Network level traffic management and control with MFDs MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Explores network-level traffic management and control using Macroscopic Fundamental Diagrams (MFDs) for large-scale urban transport systems.

Related concepts (32)

École polytechnique

École polytechnique, also known as Polytechnique or l'X liks, is a grande école located in Palaiseau, France. It specializes in science and engineering and is a founding member of the Polytechnic Institute of Paris. The school was founded in 1794 by mathematician Gaspard Monge during the French Revolution and was militarized under Napoleon I in 1804. It is still supervised by the French Ministry of Armed Forces. Originally located in the Latin Quarter in central Paris, the institution moved to Palaiseau in 1976, in the Paris-Saclay technology cluster.

Grande école

A grande école (ɡʁɑ̃d ekɔl; great school) is a specialized top level educational institution in France. Grandes écoles are part of an alternative educational system that operates alongside the mainstream French public university system and are dedicated to teaching, research and professional training in single academic fields such as engineering, architecture, business administration, academic research, or public policy and administration.

Motor vehicle

A motor vehicle, also known as motorized vehicle or automotive vehicle, is a self-propelled land vehicle, commonly wheeled, that does not operate on rails (such as trains or trams) and is used for the transportation of people or cargo. The vehicle propulsion is provided by an engine or motor, usually an internal combustion engine or an electric motor, or some combination of the two, such as hybrid electric vehicles and plug-in hybrids.