Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2023 7th International Conference on System Reliability and Safety, ICSRS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 229-236 |
| Number of pages | 8 |
| ISBN (electronic) | 9798350306057 |
| Publication status | Published - 2023 |
| Event | 7th International Conference on System Reliability and Safety, ICSRS 2023 - Bologna, Italy Duration: 22 Nov 2023 → 24 Nov 2023 |
Publication series
| Name | 2023 7th International Conference on System Reliability and Safety, ICSRS 2023 |
|---|
Abstract
In this paper, the authors examine car-to-car accidents for similarities of the three accident data sources German In-Depth Accident Study (GIDAS), GIDAS-Pre-Crash-Matrix (PCM) and the German Federal Statistical Office (DESTATIS). The data from the Federal Statistical Office are compared with the GIDAS data in a descriptive analysis. Among other variables, accident type, accident locations and injury severity distributions are investigated. In the process, systematic deviations between GIDAS and DESTATIS are presented. In addition, a previously published methodology for the extrapolation of GIDAS accidents to the national statistics is applied on car-to-car accidents and the weighting factors for 36 different sections are calculated. When comparing GIDAS and GIDAS-PCM, statistical tests are presented and used to check distributions of accident types and collision speeds for similarities. One of the results of the analysis is the dissimilarity of collision velocities between the GIDAS database and the GIDAS-PCM simulation database in car-to-car accidents. The presented analysis method can be part of a robust simulative effectiveness assessment to evaluate the validity of the simulation results in relation to the overall considered accident dataset.
Keywords
- car-to-car accidents, GIDAS, road safety, similarity analysis, virtual testing
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Decision Sciences(all)
- Statistics, Probability and Uncertainty
- Engineering(all)
- Media Technology
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Proceedings 2023 7th International Conference on System Reliability and Safety, ICSRS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 229-236 (2023 7th International Conference on System Reliability and Safety, ICSRS 2023).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Road Safety
T2 - 7th International Conference on System Reliability and Safety, ICSRS 2023
AU - Maschke, Jan Enno
AU - Putter, Roman
AU - Schoenawa, Stefan
AU - Gaas, Thorsten
AU - Leschke, Andre
AU - Lachmayer, Roland
N1 - Funding Information: ACKNOWLEDGMENT This research project is funded and supported by Volkswagen AG. The authors possess a valid data use license for the GIDAS (221231_GIDAS2022, 230131_GIDAS_PCM_5.0_2022_2) and DESTATIS 50% dataset (©Statistisches Bundesamt, Wiesbaden). The results, opinions and conclusions expressed in this publication are those of the authors and do not necessarily represent the views of Volkswagen AG.
PY - 2023
Y1 - 2023
N2 - In this paper, the authors examine car-to-car accidents for similarities of the three accident data sources German In-Depth Accident Study (GIDAS), GIDAS-Pre-Crash-Matrix (PCM) and the German Federal Statistical Office (DESTATIS). The data from the Federal Statistical Office are compared with the GIDAS data in a descriptive analysis. Among other variables, accident type, accident locations and injury severity distributions are investigated. In the process, systematic deviations between GIDAS and DESTATIS are presented. In addition, a previously published methodology for the extrapolation of GIDAS accidents to the national statistics is applied on car-to-car accidents and the weighting factors for 36 different sections are calculated. When comparing GIDAS and GIDAS-PCM, statistical tests are presented and used to check distributions of accident types and collision speeds for similarities. One of the results of the analysis is the dissimilarity of collision velocities between the GIDAS database and the GIDAS-PCM simulation database in car-to-car accidents. The presented analysis method can be part of a robust simulative effectiveness assessment to evaluate the validity of the simulation results in relation to the overall considered accident dataset.
AB - In this paper, the authors examine car-to-car accidents for similarities of the three accident data sources German In-Depth Accident Study (GIDAS), GIDAS-Pre-Crash-Matrix (PCM) and the German Federal Statistical Office (DESTATIS). The data from the Federal Statistical Office are compared with the GIDAS data in a descriptive analysis. Among other variables, accident type, accident locations and injury severity distributions are investigated. In the process, systematic deviations between GIDAS and DESTATIS are presented. In addition, a previously published methodology for the extrapolation of GIDAS accidents to the national statistics is applied on car-to-car accidents and the weighting factors for 36 different sections are calculated. When comparing GIDAS and GIDAS-PCM, statistical tests are presented and used to check distributions of accident types and collision speeds for similarities. One of the results of the analysis is the dissimilarity of collision velocities between the GIDAS database and the GIDAS-PCM simulation database in car-to-car accidents. The presented analysis method can be part of a robust simulative effectiveness assessment to evaluate the validity of the simulation results in relation to the overall considered accident dataset.
KW - car-to-car accidents
KW - GIDAS
KW - road safety
KW - similarity analysis
KW - virtual testing
UR - http://www.scopus.com/inward/record.url?scp=85183460221&partnerID=8YFLogxK
U2 - 10.1109/ICSRS59833.2023.10381120
DO - 10.1109/ICSRS59833.2023.10381120
M3 - Conference contribution
AN - SCOPUS:85183460221
T3 - 2023 7th International Conference on System Reliability and Safety, ICSRS 2023
SP - 229
EP - 236
BT - Proceedings 2023 7th International Conference on System Reliability and Safety, ICSRS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 November 2023 through 24 November 2023
ER -