Requirement Identification for Traffic Simulations in Driving Simulators
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912652737904640 |
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| author | Tarlowski, Sven Eckstein, Lutz |
| author_facet | Tarlowski, Sven Eckstein, Lutz |
| contents | This paper addresses the challenge of ensuring realistic traffic conditions by proposing a methodology that systematically identifies traffic simulation requirements. Using a structured approach based on sub-goals in each study phase, specific technical needs are derived for microscopic levels, agent models, and visual representation. The methodology aims to maintain a high degree of fidelity, enhancing both the validity of experimental outcomes and participant engagement. By providing a clear link between study objectives and traffic simulation design, this approach supports robust automotive development and testing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_14653 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Requirement Identification for Traffic Simulations in Driving Simulators Tarlowski, Sven Eckstein, Lutz Software Engineering Robotics This paper addresses the challenge of ensuring realistic traffic conditions by proposing a methodology that systematically identifies traffic simulation requirements. Using a structured approach based on sub-goals in each study phase, specific technical needs are derived for microscopic levels, agent models, and visual representation. The methodology aims to maintain a high degree of fidelity, enhancing both the validity of experimental outcomes and participant engagement. By providing a clear link between study objectives and traffic simulation design, this approach supports robust automotive development and testing. |
| title | Requirement Identification for Traffic Simulations in Driving Simulators |
| topic | Software Engineering Robotics |
| url | https://arxiv.org/abs/2510.14653 |