Real-Time Crowd-Monitoring Dashboard

Crowd management measures have become more and more important not only to guarantee safety, but also to maintain good accessibility of public function, high throughput of pedestrian flows and high-quality public spaces, both during events and in daily operations. To support crowd management, information is necessary on the pedestrian traffic state for decision making on the operational level, and to support policy making regarding longer-term infrastructural changes. This paper introduces an innovative crowd monitoring system, which can be used in real-time, as well as for the analyses on historical data. The system consists of three components, namely data collection, traffic engineering functions and visualization. The core of the system consists of the traffic state estimation functions, using real-time data as input to calculate indicators, such as number of pedestrians present, speed, flow, travel time and route splits. The real-time data comes from counting systems, Wi-Fi sensors, and GPS trackers, but the system can easily be extended to include other types of sensors. Special attention has been paid to the visualization of the indicators, as it needs to be accurate, intuitive and flexible, to adjust to the user needs

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
  • Authors:
    • Daamen, Winnie
    • Duives, Dorine
    • Yuan, Yufei
    • Hoogendoorn, Serge
  • Conference:
  • Date: 2018


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 13p

Subject/Index Terms

Filing Info

  • Accession Number: 01660270
  • Record Type: Publication
  • Report/Paper Numbers: 18-03137
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 20 2018 9:27AM