Use Case #3 · Lead: TEKNIKER · AIM

Real-time incident prediction, detection & response.

An intelligent monitoring system designed to identify and respond to unsafe behaviours as they occur - proactively alerting violators and nearby drivers, reducing risks for everyone.

The Challenge

Secondary roads can hide outsized risk.

Secondary roads, often overlooked in traffic management, are frequent sites of dangerous violations - many with severe consequences. Speeding, impaired driving and risky overtaking aren't just legal infringements - they're serious safety risks that endanger drivers, passengers and pedestrians.

On highways and major roads, where vehicle speeds are higher, these violations dramatically increase the likelihood of severe accidents. Blind bends add another layer: drivers, rushing or acting recklessly, sometimes attempt to overtake in these high-risk zones, often underestimating the danger.

iDriving's response: intelligent, real-time monitoring that identifies unsafe behaviour as it occurs - proactively alerting violators and nearby drivers, fostering a safer road environment for all.

Pilot Preparation · UC #3 Trials planned 2027

Where the Bizkaia & Alba Iulia pilots stand.

Per the D1.5 mid-term report (M01-M18), the Real-Time Detection, Warning and Response trial (T6.2) targets secondary roads in Romania and suburban areas in Bizkaia, Spain. Preparatory technical and dataset work is underway alongside V2X validation infrastructure.

ES

PUC 3.1 - Bizkaia, Spain

Real-time incident detection on secondary roads

  • Coordination with scenario leaders to define an additional injured-person detection class.
  • Initial training dataset of crashed-vehicle scenes assembled from Roboflow.
  • Tekniker Dataspace Connector (TDC) under integration with Kafka and partner systems.
  • Detection focus: speeding, impaired driving, risky overtaking, blind-bend events.

Lead: TEKNIKER · Ingartek

RO

PUC 3.2 - Alba Iulia, Romania

Real-time incident response in a smart-city pilot

  • "C-ITS Mobile Lab" planned to validate V2X message exchanges (T6.5).
  • SIMAVI XR / in-vehicle app implementation underway with Kafka connectivity.
  • VMS & drone experiment locations being agreed with local authorities.
  • Detection focus: incident triage, dispatch alerts, intelligent traffic management.

Lead: SIMAVI · Alba Iulia Municipality (AIM)

D5.1
First iDriving prototype available for UC #3 integration
D4.1
AI-driven on-site analysis v1 published (M18)
M25-M34
Planned UC #3 trial window (T6.2 - Detection, Warning & Response)
D6.3
Final trial execution & user training report (due Jun 2027)
Activities so far

Getting the Use Case #3 pilots ready.

Both Use Case #3 pilots are planned for 2027 (project months M25–M34). They will build on the experience of the pilots in Graz, France, Thessaloniki and Karlovac.

Bizkaia, Spain

Planned 2027

Fast response to road incidents on secondary roads: automatic incident detection with vehicle sensors and cameras, drones sending live images of the scene, alerts to emergency services, and rerouting and warnings for other drivers.

  • 15 Nov 2024 · Basque CountryIngartek presented iDriving to around 100 industry and public-authority participants at the XVI ITS Euskadi Congress. Read more
  • 23 Jan 2025 · Online2nd iDriving Spain workshop with stakeholders and partners on traffic management and emergency response in Bizkaia. Read more
  • 2027 · BizkaiaPilot trials.

Alba Iulia, Romania

Planned 2027

Monitoring dangerous driving on secondary roads, such as speeding, erratic driving and risky overtaking at blind bends, with sensors and AI cameras, immediate warnings to the driver and alerts to nearby road users.

  • Feb 2025 & Sept 2025The Alba Iulia scenario was presented and discussed with all partners at the 1st and 2nd plenary meetings. 1st plenary · 2nd plenary
  • 2027 · Alba IuliaPilot trials, with a C-ITS Mobile Lab to validate V2X message exchanges.
Expected impact

Faster detection. Faster response. Fewer crashes.

0%
Reduction in alcohol-related accidents
0%
Fewer accidents from blind-bend overtakes
0%
Lower incidents in high-risk zones via heatmaps
0%
Faster incident detection
0%
High-risk zones identified & improved
0%
Road users reached with real-time updates
0%
Cut in emergency response times