PTV Group and Econolite will present their joint Mobility Tech Suite at Intertraffic Amsterdam 2024. From April 16 to 19, the companies will jointly exhibit their top-tier transportation planning and traffic management solutions under their unified brand Umovity. Alongside simulation and modeling software, the showcase will feature intelligent traffic management technologies, controllers, cabinets, and sensor products.
Attendees at the Umovity booth #216, located in hall 2 (02.216), will delve into the forefront of traffic management innovation, geared toward optimizing traffic flow, enhancing capacity, and fortifying road safety and sustainability. In addition to PTV Optima, PTV’s renowned flagship product deployed in cities like Taichung, Vienna, and Rome, the software provider will introduce PTV Flows. The new cloud tool, powered by AI and Machine Learning, can visualize incidents in the road network and forecast unexpected congestion up to 2 hours in advance, all without reliance on advanced traffic management infrastructures or detectors.
Highlighted at the Umovity booth are PTV Model2Go, an innovative smart automation technology capable of swiftly creating a traffic model within a week, alongside PTV Access, which offers insightful data visualization and dashboards. Visitors can also discover Econolite’s EVO RADAR, a radar detection system, engineered to mitigate travel times and alleviate traffic congestion while enhancing intersection safety. Additionally, the booth showcases Centracs, Econolite’s advanced traffic management system that seamlessly integrates with PTV software, ensuring superior system reliability and optimized mobility.
Detailed information about the solutions will be available to visitors through various in-booth sessions. Luca Paone will explain “How to set up a traffic management system in 7 days” on Tuesday, April 16, at 3:30 pm and Wednesday, April 17, at 11:15 am. Another session will provide exclusive insights into Hamburg’s pioneering project #transmove: “Effective traffic management through AI-supported mobility forecasts” (Thursday, April 18, 2:20 pm).
