Abnormal Analysis of Motor Vehicle Brake Inspection Based on Similarity
Konferenz: ISCTT 2021 - 6th International Conference on Information Science, Computer Technology and Transportation
26.11.2021 - 28.11.2021 in Xishuangbanna, China
Tagungsband: ISCTT 2021
Seiten: 5Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Hou, Binshan; Sun, Xiaoping; Zong, Xin; Yuan, Xiaoxiang; Yang, Zhi; Wang, Jianfeng (Traffic Management Research Institute of the Ministry of Public Security, Wuxi Jiangsu, China)
Technical inspection of motor vehicle safety is a legal inspection procedure for motor vehicles, which is conducted by inspection institutions in accordance with relevant national technical standards. Among this inspection, the driving brake inspection is the most important part of the motor vehicle inspection work, so it is particularly important to ensure that the results of the brake inspection data is true and effective. In view of the abnormal situation such as forgery and similarity of vehicle braking test data, the cosine similarity algorithm is adopted as the measure standard of similarity of braking force test data. LSH (Locality Sensitive Hashing) algorithm is used to calculate the similarity between two groups of braking force test process data (i.e. braking force curve) of different vehicles. It is of great significance to effectively identify potential violation brake inspection problems and early warning, to provide strong technical support for motor vehicle inspection supervision, to ensure the safety performance of motor vehicles, and to prevent road traffic accidents from the source of vehicle management.