TAPCOP – Traffic AI Prediction of Common Operational Picture

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 & data-driven management of visitor flows and provides AI-based sensors and aggregate multiple data sources using AI to create a more reliable and complete view on the situation and predict overcrowding. TAPCOP offers a one-shop 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 leader:

Egbert G.T. Jaspers
ViNotion BV, Netherlands

Partners:

• BEIA GmbH
• Macq
• SIRRIS
• Televic Rail N.V.
• xyzt.ai BV
• Bold By Devoteam
• Instituto Politécnico do Porto – Escola Superior de Tecnologia e Gestão
• Instituto Superior de Engenharia do Porto (ISEP)
• MOVERY SOLUTIONS
• NETCheck S.A.
• Panel Sistemas
• Saint Patrich Technology S.L.
• SII CONCATEL S.L.
• University of Madrid Carlos III