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🤖 How can we anticipate delays and improve passenger experience in complex railway networks? 🚊 Integrating AI into control centers leads to a revolution in network management! At Egis, we’ve developed an innovative prototype for Centralized Control Centers (CCCs). This solution uses AI models to predict delays with 95% accuracy up to 15 minutes before train arrivals. Additionally, it analyzes platform and train occupancy rates to enable proactive crowd management. 📈 The expected results include greater train punctuality, optimized use of existing infrastructure, and a significantly improved passenger experience. Presented by Sondoss CHTIOUI, Systems Engineer and expert at Egis, during the @Mobil'in Pulse exhibition (formerly ATEC ITS), this integration of artificial intelligence into network management marks a promising step forward in improving the performance and efficiency of transportation systems. 💡 A connected display leverages historical and real-time data to deliver informed decisions. This solution, based on Decision Support Systems (DSS), enables operators to better regulate traffic, adjust schedules, and reduce the environmental impact of railway networks.

Sondoss CHTIOUI .

Utilisation innovante des données opérationnelles par utilisation de l’intelligence artificielle dans un poste de contrôle ferroviaire visant l’amélioration de l’efficacité opérationnelle.

2mo

Très bonne opportunité

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