Under the Route 25 initiative, ARMIS assumed leadership roles in PPS 27, PPS 28, and PPS 29, delivering integrated solutions that bridge the gap between physical infrastructure and digital intelligence. These projects address the core pillars of the R25 agenda – autonomous, intelligent, interoperable, and inclusive mobility – by modernising charging infrastructures, optimising traffic management through predictive analytics, and enabling dynamic urban access governance.
PPS 27 – Agnostic Charging Platform for e-Vehicles and Clean Energy Monitoring System
To overcome the lack of standardisation in the electric vehicle (EV) sector, PPS 27 developed an interoperable digital platform that harmonises multiple charging standards and operators into a single interface. Built on a modular, cloud-based Software-as-a-Service (SaaS) architecture, the system integrates IoT sensors to monitor real-time clean energy production. Its main innovation lies in combining predictive forecasting with gamification to encourage users to prioritise charging during peaks of renewable energy availability. This approach aims to reduce grid dependency and foster sustainable behavioural changes, ensuring that the transition to electric mobility is supported by green energy optimisation. The gamification engine incentivises virtuous actions by scoring users who align their charging schedules with high local solar production and sends contextual notifications to reward measurable reductions in carbon footprint and costs.
Figure 1 – Management & engagement engine
PPS 28 – AI-assisted Traffic Management and Routing Advice as a Service
PPS 28 tackles urban congestion and road safety risks by transitioning traffic operations from reactive monitoring to proactive management. The solution features a scalable platform that integrates heterogeneous data sources – including GPS, cameras, and crowdsourced data – to provide real-time situational awareness. Key results include an Automatic Incident Detection (AID) module that uses video analytics to identify wrong-way driving and stopped vehicles, and predictive map layers that provide short-term traffic forecasts. The platform communicates data-driven rerouting advice directly to drivers via Variable Message Signs (VMS) to optimise network fluidity and reduce the environmental impact of idling traffic.
Figure 2 – Automatic creation of incident records and VMS response
PPS 29 – Infrastructure Access Dynamic Assignment to Adjust Road Operations
Focusing on data-driven urban governance, PPS 29 provides an intelligent platform for dynamically regulating vehicle access based on real-time traffic and environmental conditions. The system addresses the limitations of static Urban Vehicle Access Regulations (UVARs) by integrating real-time Air Quality Index (AQI) data into decision-making. Utilising the DATEX II standard for seamless data exchange, the platform can automatically activate Low Emission Zones (LEZs) when pollution thresholds are exceeded. This modular solution empowers city authorities to manage mobility demands flexibly while prioritising public health and decarbonization through adaptive infrastructure assignment.
Figure 3 – Dynamic Low Emission Zone Visualization and Traffic Impact Assessment