Intertraffic Amsterdam
RAI Amsterdam
Europaplein 24
1078 GZ Amsterdam
Netherlands
We look forward to meeting you at #Intertraffic Amsterdam 2026, the world's leading trade event for mobility professionals.
Date: March 10 - 13, 2026
Location: Amsterdam, the Netherlands
Booth No.: #218, hall 2 (02.218)
Umovity, adopts a holistic strategy to enhance mobility by prioritizing safety, intelligence, and sustainability. This involves integrating intelligent solutions for modeling & planning, management & prediction, as well as onsite operations & optimization to boost performance and efficiency in all your transportation processes.
Uniting the best-in-class solutions for intelligent traffic management systems, cloud-based adaptive traffic control, real-time traffic management software, controllers, cabinets, and sensor products by Econolite, and simulation and predictive modelling software by PTV.
Product Highlights at the Umovity Booth
Hear our experts speak at Intertraffic Summit
AI Data-driven, Rider-centered service planning for sustainable urban mobility
Farnaz Tepper | March 10, 2026, 12:45pm | Location: Next Mobility Stage, hall 11, RAI Amsterdam
This presentation introduces a practical planning framework that uses AI-generated workplace distributions and origin-destination data to simulate demand. Passenger flows are assigned to a digital network model, generating KPIs such as boardings, load factors, and passenger km without complex modelling tools.
Designed for planners and decision makers without academic modelling expertise, this method enables agile, data-driven decision-making and supports responsive, inclusive, and climate-aligned public transport systems.
Digital Twin Technology as a Strategy for Optimizing Traffic Signal Operation
Snehasis "Sunny" Chakravarty | March 12, 2026, 10:45am | Location: Intertraffic summit theatre 3, hall 5, RAI Amsterdam
The presentation will highlight how a two-way real-time traffic data exchange between the actual roadway and its cyber counterpart, or digital twin, can provide a powerful strategy to model, analyze, and test actual traffic conditions to dynamically optimize traffic signal operations. Moreover, by applying traffic signal performance measures, data-driven modeling, and AI, digital twin has the real potential to open new doors to effectively apply cooperative awareness and forecasting.
AI Detection of Unusual Congested Zones with Floating Car Data
Luca Paone | 10 March 2026, 4:40pm| Location: Intertraffic Summit Theatre 1, hall 5, RAI Amsterdam
This session presents an AI-based approach for identifying unusual congested zones in urban networks using only Floating Car Data (FCD). Powered by the Octopus algorithm, the method detects and delineates congestion clusters in real time, distinguishing between expected traffic patterns and anomalies.
A major innovation is enabling traffic operators to fine tune what 'unusual' means for their context. Validated across several cities and deployed at the Brussels Traffic Management Center, the system improves detection times and strengthens situational awareness. Integrated within PTV Flows, it provides a scalable solution for modern mobility management.
