Faculty of Transport and Traffic Sciences’ Post

🚦 How can expert systems revolutionize traffic signal optimisation? We are thrilled to feature the latest research published in Promet – Traffic&Transportation: "A Review of Expert Systems Integration in Signal Plan Optimisation" by Luka Dedić and Miroslav Vujic. This study explores how integrating artificial intelligence tools like fuzzy logic, neural networks, and reinforcement learning can enhance urban traffic management. With a focus on real-time data from automatic licence plate recognition systems, the authors propose scalable solutions to minimize delays and emissions while improving traffic flow. 📖 Read the full article here: https://lnkd.in/dyFbWYtN 💡 Key insights: • Adaptive traffic signals reduce delays and enhance flow efficiency. • Expert systems enable real-time decision-making with advanced algorithms. • Multi-agent systems offer scalable solutions for urban networks. Let’s drive toward smarter, sustainable traffic systems! 🚘🌱 #TrafficManagement #AI #UrbanMobility #SmartCities #TransportationResearch #TrafficandTransportation