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Application Research on Data Mining Technology in Small & Medium-Scaled Traffic Accidents

Author: LiuWenGuang
Tutor: TianHongï¼›WangHuaYu
School: Dalian Jiaotong University
Course: Software Engineering
Keywords: Traffic Accidents Data Mining Association rules Cluster analysis Apriori algorithm
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 153
Quote: 0
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Abstract


With the rapid development of the economy and people's living standards improve , an ever-growing number of small and medium-sized city car , at the same time a large number of traffic accidents also followed , it is necessary to strengthen the management of all aspects of the transport of small and medium-sized cities , as much as possible to reduce traffic accidents place. As we all know , the database technology has been fully applied in the field of traffic management , traffic management field, especially in the area of dealing with traffic accidents have accumulated vast amounts of data in these data , there is a lot of value , yet to be discovered , potentially associated the relationship of valuable data . Data mining technology in the transport sector , through data mining technology the accident data mining , widespread concern at home and abroad has become an important research topic . The main job is to conduct a more in-depth study of cluster analysis and data mining association rules technology , and its application to a traffic accident analysis system for small and medium-sized cities , in order to strengthen the management to reduce traffic accidents . First, this paper status quo and development trend of the research in this field at home and abroad , the system discussed data mining technology and its algorithm . According to the traffic characteristics of the small and medium-sized cities , build data mining models. Then details the system requirements analysis and system design , focusing on the various methods of data preprocessing stage , the accident data processing . On this basis , the specific description of the realization of the process and significance . The core of this study is how data mining technology is applied to traffic accident analysis system for small and medium-sized cities , and in-depth study of the K-means cluster analysis algorithm and association rules , Apriori algorithm to analyze the strengths and weaknesses of the existing algorithms in improved on the basis of the original algorithm , is an innovative point of this paper , the experiment proved that the improved algorithm is superior to the original algorithm . This article through improved algorithm of association rules and clustering analysis of traffic accident data , data mining , and mining results analysis , to verify the effectiveness of the system , preliminary to the purpose of the experiment .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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