Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

Human-Centric Ubiquitous Mobility: Intelligent Systems

Description

This lecture by the instructor explores the new era of human-centric ubiquitous mobility for large urban networks, focusing on transportation science challenges and solutions. Topics include complex interactions, traffic modeling, control strategies, and the PNEUMA dataset for urban traffic monitoring.

Official source

Related concepts (32)

Traffic

Traffic comprises pedestrians, vehicles, ridden or herded animals, trains, and other conveyances that use public ways (roads) for travel and transportation. Traffic laws govern and regulate traffic, while rules of the road include traffic laws and informal rules that may have developed over time to facilitate the orderly and timely flow of traffic. Organized traffic generally has well-established priorities, lanes, right-of-way, and traffic control at intersections.

Traffic congestion

Traffic congestion is a condition in transport that is characterized by slower speeds, longer trip times, and increased vehicular queueing. Traffic congestion on urban road networks has increased substantially since the 1950s. When traffic demand is great enough that the interaction between vehicles slows the traffic stream, this results in congestion. While congestion is a possibility for any mode of transportation, this article will focus on automobile congestion on public roads.

Traffic flow

In mathematics and transportation engineering, traffic flow is the study of interactions between travellers (including pedestrians, cyclists, drivers, and their vehicles) and infrastructure (including highways, signage, and traffic control devices), with the aim of understanding and developing an optimal transport network with efficient movement of traffic and minimal traffic congestion problems.

Three-phase traffic theory

Three-phase traffic theory is a theory of traffic flow developed by Boris Kerner between 1996 and 2002. It focuses mainly on the explanation of the physics of traffic breakdown and resulting congested traffic on highways. Kerner describes three phases of traffic, while the classical theories based on the fundamental diagram of traffic flow have two phases: free flow and congested traffic.

Microscopic traffic flow model

Microscopic traffic flow models are a class of scientific models of vehicular traffic dynamics. In contrast, to macroscopic models, microscopic traffic flow models simulate single vehicle-driver units, so the dynamic variables of the models represent microscopic properties like the position and velocity of single vehicles. Also known as time-continuous models, all car-following models have in common that they are defined by ordinary differential equations describing the complete dynamics of the vehicles' positions and velocities .

Related lectures (29)

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.

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.

Static Route Choice: Congestion Games MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Explores static route choice, congestion games, equilibrium concepts, Braess paradox, and system performance.

Variable speed limits: Traffic flow modeling and ITS MOOC: Intro to Traffic Flow Modeling and Intelligent Transport Systems

Covers variable speed limits, merging traffic control, and feedback structures for traffic flow.

Urban Restructuring in Pikine Irregular South: Tools and Methods