NZZ: How Züri Fäscht aims to prevent dangerous crowding
NZZ explains how crowd management at Züri Fäscht 2019 uses app data and ETH-derived operating pictures to detect risks in advance.
Neue Zürcher Zeitung describes how Züri Fäscht 2019 uses data-based crowd management to prevent dangerous crowding — a methodology that originated at the Wearable Computing Lab of ETH Zürich and is operationalised by antavi.
The focus is on combining voluntary app data with additional sensor sources into a unified operating picture. Organisers, police and emergency services see crowd density in real time and can adjust entrances, routes or stage programmes in good time.
Full coverage at NZZ.
Repost von NZZ