Projects per year
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.
Original language | English |
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Article number | 3135 |
Number of pages | 10 |
Journal | Energies |
Volume | 14 |
Issue number | 11 |
DOIs | |
Publication status | Published - 1 Jun 2021 |
Keywords
- ADAS
- framework
- Software
- Traffic flow simulation
- Vissim
ASJC Scopus subject areas
- Mechanical Engineering
- Computer Science Applications
Fields of Expertise
- Information, Communication & Computing
- Mobility & Production
Treatment code (Nähere Zuordnung)
- Application
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DVS: Vehicle Dynamics
Koglbauer, I. V., Lex, C., Shao, L., Semmer, M., Rogic, B., Peer, M., Hackl, A., Sternat, A. S., Schabauer, M., Samiee, S., Eichberger, A., Ager, M., Malić, D., Wohlfahrter, H., Scherndl, C., Magosi, Z. F., Orucevic, F., Puščul, D., Arefnezhad, S., Karoshi, P., Schöttel, C. E., Pandurevic, A., Harcevic, A., Wellershaus, C., Li, H., Mihalj, T., Kanuric, T., Gu, Z., Wallner, D., De Cristofaro, F., Soboleva, K., Nalic, D., Bernsteiner, S., Kraus, H., Zhao, Y., Bodner, J., Bui, D. T., Hirschberg, W., Plöckinger, M. & Khoshnood Sarabi, N.
1/01/11 → 31/12/24
Project: Research area
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SceneGen II - Intelligent Scenario generation for test and validation of highly automated driving functions
Eichberger, A. & Fellendorf, M.
1/01/19 → 31/12/19
Project: Research project
Activities
- 3 Talk at conference or symposium
-
Deterministic Stress Testing Method for Generation of Critical Scenarios
Demin Nalic (Speaker)
Oct 2020 → Nov 2020Activity: Talk or presentation › Talk at conference or symposium › Science to public
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Systematische Generierung von Szenarien für die Absicherung von autonomer Fahrfunktionen
Demin Nalic (Speaker)
2 Jul 2019Activity: Talk or presentation › Talk at conference or symposium › Science to public
-
Systematische Generierung von Szenarien für die Absicherung von autonomen Fahrfunktionen
Demin Nalic (Speaker)
17 Jul 2019 → 18 Jul 2019Activity: Talk or presentation › Talk at conference or symposium › Science to public
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Criticality Assessment Method for Automated Driving Systems by Introducing Fictive Vehicles and Variable Criticality Thresholds
Nalic, D., Mihalj, T., Orucevic, F., Schabauer, M., Lex, C., Sinz, W. & Eichberger, A., 14 Nov 2022, In: Sensors . 22, 22, p. 1-15 15 p., 8780.Research output: Contribution to journal › Article › peer-review
Open Access -
Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems
Nalic, D., Pandurevic, A., Eichberger, A. & Rogic, B., 18 Sept 2020, p. 1-6. 6 p.Research output: Contribution to conference › Paper › peer-review
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Scenario Based Testing of Automated Driving Systems: A Literature Survey
Nalic, D., Mihalj, T., Bäumler, M., Lehmann, M., Eichberger, A. & Bernsteiner, S., 24 Nov 2020, p. 1. 10 p.Research output: Contribution to conference › Paper › peer-review