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Project KARAT

Bildmarke INQA

Project description:

The project "Artificial intelligence for healthy work in driving professions: Workload and Safety in Traffic and Transport (KARAT)" implements an employee-oriented AI application to support the driving professions in Germany. By using individual data, physiological reactions and driving data as well as publicly available data (e.g. weather data, major events, traffic situations), an analysis of workload based on machine learning is developed. This application allows the prognosis of the individually health and work related optimal travel and shift scheduling and suggests measures for stress reduction as well as optimal work, assignment and route planning. For companies, this offers the possibility of reducing the specific workload and the high level of sick leave and absenteeism in driving professions by means of a standardized procedure with little effort. At the same time, the group of driving professions with a total of about 1.5 million employees in Germany will be shown a specific benefit from the use of AI applications, which provides an example and motivation for other fields of application of AI to support healthy work beyond the concrete fields of application. The project consortium consists of the experienced research partners FOM Hochschule Essen (coordination), University of Bremen, University of Duisburg-Essen and University of Hohenheim as well as the practice partners Duisport-Group (Duisburg), the SME transport company Sherwood (Cologne) and the freight forwarding association VSL NRW (Düsseldorf).

This means that both large and small organizations with significant numbers of employees in the driving professions are represented (total number of employees through more than 500 VSL member companies about 100,000). In addition, eleven associated project partners support the research work towards a far-reaching transfer effect, for example in the field of driving activities in municipal public transport. Challenges caused by digital change are positively accepted by the KARAT project, as the density of digital systems is increasing for driving professions: Digital systems are increasingly used for navigation, toll collection, order control or customer data acquisition. This results in a networking potential through individualized AI systems for stress analysis and reduction for employees in driving professions.

 

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