Project

TEAPaN2

Period
1 February 2025-30 September 2027
Project manager
Stefan Candefjord

Full title: TEAPaN2 - Traffic Event Assessment, Prioritizing and Notification – towards practical implementation

Based on the utilization of data from connected vehicles, individuals and the traffic environment, TEAPaN's open system structure and functions provide the conditions for increased traffic safety, reduced mortality and injuries for all road users. An incident, accident or sudden illness generates an alarm and information about vehicles and individuals is then sent to TEAPaN Services - a central IT infrastructure for continuous storage, communication, analysis and processing of available data. The result is given to alarm, blue light and other actors in the form of a decision support, with and without AI elements, for prioritization, resource allocation and handling. The project uses both real and synthetic data as well as AI in development and evaluations

Partners: Chalmers, PICTA, VTI, SU amb, VGR SvLc, Detecht, Räddningstjänst/NUC, Consat, SOS International, Volvo Cars, Everdrone

Traffic safety benefit: Improved precision and efficiency of emergency service response.

Keywords: emergency, accident, response, connectivity
 

Short facts

Research area
Post Crash
Financier(s)
VINNOVA, Drive Sweden program
Partners
Chalmers University of Technology
Prehospital ICT Arena (PICTA)
VTI
Sahlgrenska Academy
VGR
Volvo Cars
Other non-SAFER partners (see abstract)
Project type
SAFER connected project