Fraunhofer Institute for Transportation and Infrastructure Systems IVI
Fraunhofer Institute for Transportation and Infrastructure Systems IVI

TASC

From data acquisition to scenario-based testing

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Traffic and Accident Scenario Community

TASC: A dynamic testing and development ecosystem for safe driving functions

TASC is an ecosystem for developing and testing the efficacy of driving functions in highly complex traffic scenarios. It is based on real accident and driving scenarios available in high variance and in a uniform data format. An integrated tool chain allows the selection of relevant scenarios, their evaluation according to consistent criticality parameters, and immediate data provision for simulation in virtual assessment systems. In addition, the scenarios can be integrated real-world systems in physical testing sites.

The ecosystem is expanded continuously by both new scenario data and additional methods. Thus, it makes a steadily growing contribution to the safety and improvement of modern driving functions.

The fully automated TASC process

What does TASC offer?

  • Tens of thousands of real accident scenarios and hundreds of thousands of real traffic scenarios for simulation in an ecosystem that is continuously being expanded
  • A complete tool chain from data acquisition and integration to scenario-based testing
  • Up to 900 variations per accident mirroring the actions of the involved parties before the accident
  • Accidents and scenarios in urban and rural areas that cover nearly all possible traffic configurations
  • Compatibility with a variety of simulation tools and AB Dynamics equipment
  • Kibana dashboard as a "one-for-all" analytics tool

How can you benefit from TASC?

Data analysis and exploitation

  • Create your own data analysis platform on the Kibana dashboard based on accident data, variations and scenarios combined with your EDR data.
  • Use scenarios based on real-world observations and reconstructed accidents for real-time AD and ADAS testing and homologation.
  • Gain access to up to 900 variations per accident that mirror the actions of the involved parties before the accident.
  • Use TASC to export data to common file formats, convert them for simulation environments (e. g., PC-Crash, CarMaker) and carry out tests using real hardware (e. g., AB Dynamics).
  • Evaluate alle scenarios according to their criticality and representativeness.

Real traffic scenarios

  • Use the Analysis and Investigation Method for All Traffic Scenarios (AIMATS) for the fast creation of the scenarios you need and for integrating them in your TASC ecosystem.
  • Expand your data by traffic scenarios based on specific research questions and hotspot analyses.
  • Combine your own data with intersection and wildlife scenarios in urban and rural hotspots.

Accident scenarios

  • Integrate accident scenarios that are based on police-recorded data.
  • Gain access to up to 900 variations of individual real-world traffic accidents contained in the data.
  • Benefit from the system's compatibility with DESTATIS.

Our partners

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Publications

Schreiber, D.; Schramm, S.; Imhof, P.: Development of an Innovative LiDAR-based Calibration Method to Extend the Capabilities of AIMATS. 2025 FISITA World Mobility Conference, Barcelona, Spain, June 3-5, 2025
In: 2025 FISITA World Mobility Conference Technical Proceedings: Volume 1 – Advanced Chassis Technology, Propulsion Systems, Safety & Automated Driving. Kahl, M. (eds.), Springer Nature Switzerland, 2025 (publication pending)   

Urban, M.; Pohle, M.; Schwetzler, P.; Mallada, J. L.: Weighted Benefit Estimation of Accident Simulation and Variation of TASC Cases. 7th International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents FAST-zero 2023, Kanazawa, Japan, November 8-11, 2023

Schreiber, D.; Schramm, S.; Saadé, J.; Mallada, J. L.: Monitoring of French Intersection Traffic – The Application of Enhanced AIMATS-Systems. 39th FISITA World Congress, Barcelona, Spain, September 12-15, 2023

Pohle, M.; Erbsmehl, C. T.: Methodology for Addressing the Criticality for All Driving Scenarios. International Symposium on Future Active Safety Technology Toward Zero Traffic Accidents FAST-zero 2021, virtual event, September 28-30, 2021

Urban, M.; Erbsmehl, C.; Mallada, J. L.; Puente Guillen, P.; Tanigushi, S.: A Methodology for Building Simulation Files from Police Recorded Accident Data (For ADAS Effectiveness Assessment). 2020 FISITA Web Congress, virtual event, November 24, 2020
In: Proceedings. FISITA, 2020, 7 pp.

Urban, M.; Erbsmehl, C.; Landgraf, T.; Pohle, M.; Mallada, J. L.; Puente Guillen, P.; Tanigushi, S.: Parameterization of Standard Test Scenarios of Automated Vehicles Using Accident Simulation Data. 2020 FISITA Web Congress, virtual event, November 24, 2020
In: Proceedings. FISITA, 2020, 7 pp.

Erbsmehl, C.T.; Lich, T.; Mallada, G.: How to Link Accident Data and Road Traffic Measurements to Enable ADAS/AD Simulation? 5th International Symposium on Future Active Safety Technology toward Zero Accidents FAST-zero 2019, Blacksburg, VA, USA, September 9-11, 2019
In: Journal of Mechanics Engineering and Automation JMEA, vol. 9, 2019, issue 6, David Publishing, p. 177-184, ISSN 2159-5283, DOI: 10.17265/2159-5275/2019.06.001

Landgraf, T.; Schreiber, D.; Erbsmehl, T.C.: AIMATS – A New Metodology to Investigate Real Life Scenarios for Simulation and Testing. 37th FISITA World Automotive Congress 2018, Chennai, India, October 2-5, 2018
In: Proceedings. FISITA, 2018, ISBN: 978-0-9572076-5-3

Erbsmehl, C. T.; Landgraf, T.; Pfitzner, P.: The usage of police recorded accident data for fraud identification. 27th EVU Conference, Dubrovnik, Croatisa, October 11-13, 2018

Erbsmehl, C.; Landgraf, T.; Yuasa, H.: Animal Street Crossing Behavior. An in-depth field study for the identification of animal street crossing behavior using the AIMATS methodology. 25th International Technical Conference on Enhanced Safety of Vehicles ESV, Detroit, MI, USA, June 5-8, 2017

Rauschert, A.; Erbsmehl, C.T.; Urban, M.; Otte, M.; Johannsen: Accident analysis 2.0 – Update concerning bicycle Accident situation. 4th International Cycling Safety Congress ICSC, Hanover, September 15-16, 2015

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