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TAPCOP
Traffic AI Prediction of Common Operational Picture
Project description
Authorities continuously struggle with managing and controlling traffic and crowds to prevent safety incidents and discomfort. They lack efficient solutions to prevent these problems. TAPCOP realises situational awareness and data-driven management of visitor flows, provides AI-based sensors and aggregates multiple data sources using AI to create a more reliable and complete view of the situation and predict overcrowding. TAPCOP offers a one-stop solution for multi-modal mobility management and prevention of overcrowding by personally advising visitors pre-trip, on-trip and on-site via social media, navigation systems and other mobile phone apps.
Project publications
- TAPCOP Project profile leaflet Project Leaflet 03 September 2024 Download
- ITEA PO Days 2024 - Project TAPCOP Project poster 11 September 2024
- AI-powered detection and tracking of passengers and their luggage News item 04 November 2024