Crowd Monitoring System for SAIL 2015

Header image: Crowd Monitoring System for SAIL 2015

One of the challenges of large-scale events, such as SAIL2015, is to guarantee smoothly flowing visitor flows. Prerequisite for effective crowd management is real-time information on pedestrian flows in the area. In this project, we have developed a real-time crowd monitoring system, including real-time data collection using multiple sensors and visualisation of the traffic state in the overall area.

SAIL2015 Amsterdam is the largest public event in the Netherlands and the largest free nautical event in the world. Over 600 ships navigate along the North Sea Canal and moor in and around the IJhaven in Amsterdam. In addition, many festivities take place around the IJhaven terrain. The event attracts many visitors, walking or sailing around the event terrain. The SAIL organisation and the municipality of Amsterdam take all kinds of measures to handle the visitor flows. When and where to apply these measures depends on the actual situation in the SAIL terrain. So far, accurate real-time information is lacking to support crowd management and off-line analysis. The aim of this project is therefore to develop a crowd monitoring system that is able to provide this information.

The basis of the crowd monitoring system is real-time data. Four types of data have been collected: counts resulting from counting cameras, travel times based on Wifi sensors, speeds and routes using GPS trackers and personal characteristics based on social media. The GPS trackers have been distributed to visitors willing to participate in this research project.

Dedicated software has been developed to combine these data sources and to fill in the blanks for locations for which no information was available. The resulting information (flows, speeds and densities) has been visualised in a dashboard (see figure). Each link is visualised with a colour showing the quality of the situation: blue indicates few people and high speeds, while orange and red mean more people and low speeds.

Project duration
May 2015 – October 2015

DAT.Mobility, Delft University of Technology, AMS Institute

External links

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