SWISSSAFETY AI: Proactive Solutions for Accident Prevention
How do we prevent accidents before they happen?
SWISSTRAFFIC captures near-accidents at dangerous locations, evaluates them with AI and visualises them through a risk matrix. Their safety experts develop measures and the success becomes evident in the second impact analysis.
Safety in traffic is no coincidence. In every city, there are risky road sections where the potential for accidents is particularly high. Therefore, measures should be taken to improve safety. SWISSTRAFFIC helps prevent accidents before they occur by utilising artificial intelligence (AI) to analyse problematic sections, identify potentially dangerous areas, and develop improvement solutions. A subsequent impact analysis allows them to evaluate and demonstrate the success of these measures.
In potential conflict situations involving “pedestrian-vehicle” or inattentive pedestrians (those absorbed in mobile phones), a warning tone can sound in addition to the flashing of lights. Optionally, in case of disregard, a brief video sequence of the incident can be stored in the system and used for law enforcement purposes. The system is available as a fixed or mobile installation.
Evaluation of dangerous situations (near-collisions) with Swisstraffic risk matrix
1. Capturing near-collisions
With their analysis tools, dangerous situations (near-collisions) are statistically captured and reported. The result is a risk matrix providing an overview of all near-collisions categorised by their severity: RED indicates a very high probability of an accident or a high degree of injury, ORANGE signifies an existing probability of an accident or a medium degree of injury, and GREEN denotes a low to no probability of an accident or no risk of injury.
2. Proposal of measures
Based on the risk matrix, the red and orange near collisions are examined in detail. SWISSTRAFFIC safety experts develop measures to improve road safety at these locations through immediate infrastructure interventions.
3. Impact analysis of the measures introduced
After implementing the immediate measures, an analysis of their effectiveness is necessary, and the results are incorporated into a new risk matrix. The comparison of the two risk matrices BEFORE and AFTER should show no more near-collisions in the red area and as few as possible in the orange area.


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