Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas

碩士 === 國立東華大學 === 企業管理學系 === 106 === The occurrence of road traffic accidents and the increase of road traffic are closely related. Traffic accidents have always been a serious social problem. All government departments vigorously promote traffic safety issues, however, there is still a lot of room...

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Main Authors: Yu-Jie Lin, 林昱杰
Other Authors: Chih-Peng Chu
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/s39gc4
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spelling ndltd-TW-106NDHU51210212019-05-16T01:07:39Z http://ndltd.ncl.edu.tw/handle/s39gc4 Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas 偏鄉地區道路交通事故資料管理和分析之建立與應用-以花蓮縣為例 Yu-Jie Lin 林昱杰 碩士 國立東華大學 企業管理學系 106 The occurrence of road traffic accidents and the increase of road traffic are closely related. Traffic accidents have always been a serious social problem. All government departments vigorously promote traffic safety issues, however, there is still a lot of room for improvement. Today's data science uses many analytical skills to explore events, incident patterns or facts in many areas. This scientific method can also help us to prevent and reduce traffic accidents, but it requires a good quality of the data because itself is the basis for data analysis. The purpose of this study is to help Hualien County Traffic Police Team to maintain a set of detailed and standard guidelines for handling traffic accident data analysis.This guide is based on the data retrieval system and data management system of this study. In order to automate the data pre-processing phase without reducing the accuracy of the data while reducing the operating time. With the premise of high-quality data, the results of data analysis will have more real value and reference value. Chih-Peng Chu 褚志鵬 2018 學位論文 ; thesis 102 en_US
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language en_US
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description 碩士 === 國立東華大學 === 企業管理學系 === 106 === The occurrence of road traffic accidents and the increase of road traffic are closely related. Traffic accidents have always been a serious social problem. All government departments vigorously promote traffic safety issues, however, there is still a lot of room for improvement. Today's data science uses many analytical skills to explore events, incident patterns or facts in many areas. This scientific method can also help us to prevent and reduce traffic accidents, but it requires a good quality of the data because itself is the basis for data analysis. The purpose of this study is to help Hualien County Traffic Police Team to maintain a set of detailed and standard guidelines for handling traffic accident data analysis.This guide is based on the data retrieval system and data management system of this study. In order to automate the data pre-processing phase without reducing the accuracy of the data while reducing the operating time. With the premise of high-quality data, the results of data analysis will have more real value and reference value.
author2 Chih-Peng Chu
author_facet Chih-Peng Chu
Yu-Jie Lin
林昱杰
author Yu-Jie Lin
林昱杰
spellingShingle Yu-Jie Lin
林昱杰
Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
author_sort Yu-Jie Lin
title Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
title_short Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
title_full Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
title_fullStr Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
title_full_unstemmed Traffic Accident Data Administration and Data Analysis System Establishment and Application in Rural Areas
title_sort traffic accident data administration and data analysis system establishment and application in rural areas
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/s39gc4
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