Abstract
Data mining technology is used to analyze the association between driver's macroscopic characteristics and accident types of drivers of urban traffic accidents. Based on the correlation between microscopic characteristics (such as physiology and psychology of the driver and macro characteristics (such as sex, age and driving age), the statistic values of driver sex, age and driving characteristics of road in traffic accidents are taken as the comparison sequences, and the types of traffic accidents as the reference sequence. Simultaneously, the gray relational model of the driver's accident and the accident type is established. By analyzing the quantified results of the gray incidence matrix, evaluated the different characteristics of the transport drivers for the influence of the accident types, and a reference for prevention of traffic accidents is provided effectively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
