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Use Case #1 · Lead: ALP.LAB · Université Gustave Eiffel

Enhanced logging & user-interaction monitoring for road infrastructure improvement.

Tackling urban road safety challenges through proactive monitoring of high-risk areas - fostering safer, more harmonious coexistence among all road users.

The Challenge

Urban roads weren't built for the mix of users they now serve.

Urban roads frequently experience high vehicle density, particularly at intersections where traffic converges, creating congestion hotspots. This buildup, combined with driver impatience, can often lead to risky behaviours and traffic violations - motorcycles and cars weaving through lanes or bypassing congestion in unsafe ways.

In densely populated areas, the lower vehicle speeds may foster a false sense of security. Many drivers and riders overlook fundamentals such as wearing helmets or fastening seatbelts, underestimating the risks. Urbanisation has also led to a rise in cyclists, e-bikers and pedestrians sharing roads designed primarily for motor vehicles.

The current infrastructure has struggled to adapt to the evolving mix of road users. Even a small lapse in attention can have severe consequences - particularly for vulnerable road users.

iDriving's response: proactive monitoring of high-risk areas and targeted interventions to enhance road safety, redefining urban road-safety standards for a better future.

Trial Summary · PUC 1.1 ✓ Completed Feb 2026

PUC 1.1 trials in Graz, Austria.

Between 16-20 February 2026, the consortium ran a five-day on-site trial in Graz - the first real-world validation of iDriving's enhanced logging and user-interaction monitoring stack. Testing kicked off at the Torus bus garage with physical setup and system integration, then progressed to operational scenarios with drones operated by Acceligence capturing traffic footage in tandem with the wider system.

5days
On-site trial duration (16-20 Feb 2026)
10classes
Detection categories: helmet, seatbelt, mobile, vehicle, plate, windshield + more
87% mAP
Average mean Average Precision of YOLOv11 models
11-12fps
Real-time inference on NVIDIA Jetson AGX Orin (25 FPS on GPU)
4,000images
Curated training dataset for the Graz scenario
UAV

Drone surveillance

UAVs operated by Acceligence captured traffic footage with on-board NVIDIA Jetson processing - object detection, incident detection and intelligence streaming back to the system.

CV

Real-time perception

YOLOv11 (Small and Medium) running on edge hardware with DeepSort and ByteTrack tracking - identifying helmet/seatbelt use, mobile distraction, vehicle classification and traffic violations.

OCR

Licence-plate recognition

An OCR pipeline integrated for licence-plate recognition under varied lighting - feeding the violation logging system in real time.

V2I

End-to-end integration

Confirmed data transmission, message handling and system integration across modules from CERTH, Université Gustave Eiffel, Tekniker and Netcompany-Intrasoft.

Highlights from the iDriving pilot in Graz, February 2026 (49 s). Watch on YouTube →

Photos from the Graz trials

The test week started at the Torus bus garage and moved on to the Magna test track, where ALP.Lab marked lanes to replicate a city intersection. Roadside cameras, an instrumented Torus bus and drones fed the detection pipelines, and warnings appeared on variable message signs and in the iDriving app.

iDriving partners with the Torus bus, a van and a test car at the Magna test track during the Graz trials
A drone ready for take-off next to the control tent and the Torus bus at the Graz test track
A roadside camera mast at the test track, with an e-scooter rider and the Torus bus in the background
Collage: the Torus bus and a van at the intersection, the detection software and a variable message sign reading “Seatbelt violation detected for car on the intersection”
Collage: a drone at the test site, an e-scooter scenario and a van with an AI detection box on screen
A drone pilot in a high-visibility vest holding a drone at the Graz test track, next to a test van

The road to the Graz pilot

  • Feb 2025 · Graz1st iDriving plenary meeting in Graz, with a welcome on behalf of the mayor and a presentation by the City of Graz traffic systems division. Read more
  • 16–20 Feb 2026 · GrazFive-day PUC 1.1 trials at the Torus bus garage and the Magna test track. Read the trial story
  • NextThe Graz data feeds the evaluation in WP6 and the next version of the iDriving prototype.
Read the full trial story → Mid-term review (D1.5) →
Trial Summary · PUC 1.2 ✓ Completed Mar 2026

PUC 1.2 trials in France: AI warnings to protect cyclists and pedestrians.

From 9 to 13 March 2026, partners met at the Transpolis test track near Lyon to test how roadside cameras, a drone and AI can spot risky behaviour around cyclists and pedestrians and warn road users in real time. The scenario was first developed with the city of Nevers in mind; for the trials, the team used a signalised intersection with cycle lanes and a zebra crossing on a closed site, where risky situations can be staged safely.

Using bicycles, a motorbike, cars and a van, the team staged eight everyday risks, such as a car parked in the cycle lane, a vehicle blocking the view of a road sign, pedestrians crossing outside the zebra crossing, drivers not giving way on the crossing, and riding without a helmet or while using a phone. Warnings were shown on a roadside variable message sign and in the iDriving app.

Highlights from the iDriving pilot at Transpolis, March 2026 (43 s). Watch on YouTube →

The road to the French pilot

  • 13 Dec 2024 · OnlinePilot use case workshop for Nevers: co-creation with local stakeholders on locations to monitor, risky behaviour between pedestrians and cyclists, and the warnings people want to receive. Read more
  • Sept 2025 · NeversDuring the 2nd plenary meeting (22–24 Sept 2025), the consortium travelled to Nevers for the use case presentation and a live rehearsal of the iDriving system. Plenary · Rehearsal
  • 9–13 Mar 2026 · TranspolisPUC 1.2 trials with eight scenarios, warnings on a roadside sign and in the app. Read the pilot story
  • 23 Sept 2026 · OnlineUniversité Gustave Eiffel presented iDriving’s digital twin at the joint workshop with EvoRoads and CAMBER. Watch again · Highlights on YouTube

Photos from the French pilot

The iDriving pilot set-up at the Transpolis test track: a control tent with monitors next to a test intersection with cycle lanes and a zebra crossing
A cyclist wearing a helmet rides through the test intersection at Transpolis during a helmet-detection scenario
A monitor shows the iDriving AI model detecting and labelling a cyclist and a motorcyclist at the zebra crossing
A test cyclist rides past the camera while using a mobile phone, one of the risky behaviours tested in the pilot
A variable message sign displays the warning “Don’t use smartphone” as a cyclist passes during the pilot
A smartphone shows an iDriving app alert about mobile phone use detected at the test intersection
A drone flying over the Transpolis test track under a clear sky
iDriving partners at the Transpolis test track with the bicycles, motorbike and vehicles used in the pilot scenarios

Before the trials: 2nd plenary meeting and Nevers rehearsal, September 2025

A partner works on iDriving test equipment installed in the boot of a car
Partners look at the iDriving test equipment and a laptop in the boot of a car
The iDriving consortium on stage at the 2nd plenary meeting in France, September 2025
Read the full pilot story → Nevers workshop (Dec 2024) → 2nd plenary & Nevers rehearsal →
Expected impact

The numbers we're aiming for.

0%
Increase in helmet & seatbelt usage
0%
Reduction in minor & major collisions
0%
Decrease in peak-hour traffic congestion
0%
High-risk zones identified & rectified