Intertraffic: Umovity to Showcase Integrated Mobility Solutions

Why It Matters

By delivering a unified, data‑driven platform, Umovity enables municipalities to meet rising travel demand, sustainability goals and safety targets while reducing operational complexity.

Key Takeaways

• Umovity merges Econolite hardware with PTV software.
• Mobility OS creates continuous decision‑making loop.
• PTV Optima forecasts multimodal congestion using machine learning.
• Econolite EPIQ Radar adds 1080p video to detection.
• Cities shift from reactive to predictive traffic control.

Pulse Analysis

Urban transport networks are under unprecedented strain as population growth, climate targets and the rise of shared mobility converge. Cities need tools that can synthesize data from road sensors, public transit, taxis and parking to make informed decisions. Umovity, the joint brand of traffic‑control veteran Econolite and mobility‑modeling specialist PTV Group, was created to bridge hardware and software silos. By presenting its integrated suite at Intertraffic Amsterdam 2026, the company signals a shift toward platform‑centric, data‑driven urban mobility. The event also provides a testing ground for pilot projects that could be scaled across Europe and Asia.

The core of Umovity’s offering is a Mobility Operating System that fuses planning, simulation, real‑time operations, analytics and optimisation into a single feedback loop. PTV Optima, updated in October 2025, adds a machine‑learning module that predicts demand and congestion across road traffic, taxis, shared vehicles and parking spaces. Complementary, PTV Flows delivers cloud‑based AI monitoring and travel‑time forecasts, which, when paired with Econolite’s Centracs Mobility, can automatically adjust signal timings. This predictive stack enables authorities to move from reactive control to continuous, city‑wide optimisation. Such integration reduces manual intervention, cuts operational costs, and improves response times during incidents.

Econolite’s newest detection hardware, the EPIQ Radar with built‑in 1080p video and the AI‑powered Autoscope OptiVu sensor, provides high‑resolution situational awareness that feeds the OS’s data lake. Early deployments in Taichung, Vienna and Rome demonstrate measurable reductions in queue lengths and emissions. By unifying disparate data sources, Umovity gives municipalities a scalable foundation for future services such as autonomous vehicle corridors and dynamic pricing. As more cities adopt this interoperable approach, the competitive landscape will reward vendors that can deliver end‑to‑end, AI‑enhanced mobility ecosystems. Regulators are watching these deployments closely, anticipating new standards for data sharing and cybersecurity in smart city infrastructure.