Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim

Demin Nalic, Aleksa Pandurevic, Arno Eichberger, Martin Fellendorf and Branko Rogic
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Demin Nalic: Institute of Automotive Engineering, TU Graz, 8010 Graz, Austria
Aleksa Pandurevic: Institute of Automotive Engineering, TU Graz, 8010 Graz, Austria
Arno Eichberger: Institute of Automotive Engineering, TU Graz, 8010 Graz, Austria
Martin Fellendorf: Institute of Highway Engineering and Transport Planning, TU Graz, 8010 Graz, Austria
Branko Rogic: MAGNA Steyr Fahrzeugtechnik AG Co. & KG, 8045 Graz, Austria

Energies, 2021, vol. 14, issue 11, 1-9

Abstract: As the complexity of automated driving systemss (ADSs) with automation levels above level 3 is rising, virtual testing for such systems is inevitable and necessary. The complexity of testing these levels lies in the modeling and calculation demands for the virtual environment, which consists of roads, traffic, static and dynamic objects, as well as the modeling of the car itself. An essential part of the safety and performance analysis of ADSs is the modeling and consideration of dynamic road traffic participants. There are multiple forms of traffic flow simulation software (TFSS), which are used to reproduce realistic traffic behavior and are integrated directly or over interfaces with vehicle simulation software environments. In this paper we focus on the TFSS from PTV Vissim in a co-simulation framework which combines Vissim and CarMaker. As it is a commonly used software in industry and research, it also provides complex driver models and interfaces to manipulate and develop customized traffic participants. Using the driver model DLL interface (DMDI) from Vissim it is possible to manipulate traffic participants or adjust driver models in a defined manner. Based on the DMDI, we extended the code and developed a framework for the manipulation and testing of ADSs in the traffic environment of Vissim. The efficiency and performance of the developed software framework are evaluated using the co-simulation framework for the testing of ADSs, which is based on Vissim and CarMaker.

Keywords: automated driving; scenario-based testing; software framework (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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