January 7-11, 2018
Washington, D.C.
TRB 97th Annual Meeting
880

ITS for Crowd Management: Recent Advances in Data and Models

Thursday, January 11, 2018, 8:00 AM-12:00 PM, Convention Center
Winnie Daamen, Delft University of Technology; Yufei Yuan, Delft University of Technology, presiding
Sponsored by Standing Committee on Traffic Flow Theory and Characteristics

The number of severe incidents involving large pedestrian crowds has increased in recent decades; causes include overcrowded public transport stations in industrialized countries experiencing reurbanization and increased transit use and a greater frequency of large gatherings, whether organized (e.g., sports events) or not (e.g., Facebook parties, political rallies). Tragedies, like the one in Saudi Arabia in 2015, create societal upset and show the need for improved management of large gatherings.

Welcome and Introduction
Winnie Daamen, Delft University of Technology

 

Digitalization & Crowds: New Technologies to Understand and Manage Crowd Mobility
Stefan Seer, Austrian Institute of Technology

 

Real-time Pedestrian State Estimation: Supporting a Crowd Monitoring Dashboard for Large-scale Events
Yufei Yuan, Delft University of Technology

 

What’s Missing in Today’s Models of Pedestrian Dynamics?
Tobias Kretz, PTV Group

 

Crowd Characterization using Social Media Data in City-Scale Events for Crowd Management
Vincent Gong, Delft University of Technology

 

Perception of Crowd Density under Normal and Event Conditions
Dorine Duives, Delft University of Technology

 

Panel Discussion: How Data and Models can Contribute the Contemporary Crowd Management: Insights, Challenges and Opportunities?

 

Wrap-up and Closing