Intelligent & Digital Roadway Infrastructure for Vehicles Integrated with Next-Gen Technologies

iDriving Use Case #1: Enhanced Logging and User Interaction Monitoring for Improvement of Road Infrastructure

Lead: ALP.LAB, UNI. EIFFEL

Tackling Urban Road Safety Challenges with iDriving

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 behaviors and traffic violations. Motorcycles and cars may weave through lanes or bypass congestion in unsafe ways, increasing accident risks.

In densely populated areas, the lower vehicle speeds may foster a false sense of security. Many drivers and riders may overlook fundamental safety practices, such as wearing helmets or fastening seatbelts, underestimating the risks. Urbanization has also led to a rise in bicyclists, e-bikers, and pedestrians sharing roads designed primarily for motor vehicles. As bicycles and pedestrians become common on these roads, the potential for accidents or near-misses increases, especially at intersections and crossings.

The current infrastructure, often unintentionally encouraging unsafe conditions, has struggled to adapt to the evolving mix of road users. Certain road zones become especially hazardous with distractions and the complex interactions between cars, cyclists, and pedestrians. Even a small lapse in attention can have severe consequences, particularly for vulnerable road users.

The iDriving project aims to address these challenges by proactively monitoring high-risk areas and implementing interventions to enhance road safety. By targeting urban and secondary roads, iDriving seeks to foster a safer, more harmonious coexistence among all road users, redefining urban road safety standards for a better future.

Use Case 1 Expected impact:

Enhanced Road User Compliance (30% increase in helmet and seatbelt usage), Reduction in Road Incidents (20% reduction in minor and major collisions) with assistance also from Improved Traffic Flow (15% decrease in traffic congestion during peak hours), Optimized Infrastructure Development (potential to identify and rectify 50% of high-risk zones based on collected data)