Investigation Concerning the Influence of Vehicle Characteristics on Accident Occurrences Using the FIN’s

  • The accident data analysis uses data mining and machine learning techniques, focusing on the factors that are involved in the accident occurrence. This data is collected by the police who is a first investigator and is afterwards used by the accident researcher to examine possible accident causes and influences. The main purpose of this thesis is to get an in-depth understanding by creating new data for accident researchers which helps to understand certain accident scenarios in more detail. The additional data is based on information derived from the decodation of Vehicle Identification Number (VIN) or in the German Language it is also known as Fahrzeugidentifikationsnummer (FIN). The FIN was decoded into its various sections in order to get the detail on its company, model and model year so that the analysis based on this factor can be added to the accident information and accident participant information. This system is automized for a fast integration of new FIN-data into the accident database and can further be used in the future in-depth study of accident occurrence. It is expected that the research and findings mentioned in this thesis report will help the researcher to analyze the influence of these vehicle characteristics in accident occurrence.

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Metadaten
Author:Keyur Bhakre
Document Type:Master's Thesis
Language:English
Name:Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI
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Date of Publication (online):2021/05/31
Year of first Publication:2021
Publishing Institution:Westsächsische Hochschule Zwickau
Release Date:2021/10/08
Page Number:60
Note:
Volltext gesperrt
Faculty:Westsächsische Hochschule Zwickau / Kraftfahrzeugtechnik