Austria-Graz: Smart accident prevention

Challenge

How can data collected in the course of a traffic accident help and be meaningfully enriched in order to derive patterns for accident prevention?

Context

Every incident in the operation of the Graz Lines, such as a grazing of another vehicle or a passenger fall, must be documented by the drivers in the form of an analogue accident form. Currently, the data is not digitally processed or analysed, which means that no accident hotspots can be derived.

The expected solution 

• Tablet equipment: In the future, all Graz Linien drivers will be equipped with tablets, which will enable the digital recording of accident data.
• Overcoming the language barrier: The software solution should specifically address the needs of employees with a migration background by offering intuitive interfaces and multilingualism. Innovative solutions, including AI-supported translation services, can be considered here.
   
• Ease of use for drivers: The user interface of the application should be designed in such a way that it is easy to understand and use for all drivers, regardless of their technical background. User-friendliness is crucial for broad acceptance.
• Insurance processing and integration into urban systems: The digitalised accident report should not only take into account the needs of drivers, but also the requirements of insurance processing and integration into city systems. Interfaces to existing IT infrastructures are of the utmost importance here.

Accidents can be measurably reduced. High data quality increases the efficiency of accident handling.
 

KPIs:

• Automatic collection of accident data
• Recognised patterns (meaningful correlations are recognised)
• Integration of external sources (weather, sensors, movement data)
• Early warning system possible (constellations can be recognised and drivers can be warned/sensitised)

Published 4 March, 2024.