THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM

碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === In recent years, with the continued growth of private holdings, many traffic problems have arisen. In this regard, the Government has made it possible to provide bus information services to users through the construction of advanced public transportati...

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Main Authors: Tsai, Chieh-Hsiu, 蔡杰修
Other Authors: Wang, Jin-Yuan
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/35r23s
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spelling ndltd-TW-105NCTU54230712019-05-16T00:08:11Z http://ndltd.ncl.edu.tw/handle/35r23s THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM 利用集群分析方法產製站牌班表之研究 Tsai, Chieh-Hsiu 蔡杰修 碩士 國立交通大學 運輸與物流管理學系 105 In recent years, with the continued growth of private holdings, many traffic problems have arisen. In this regard, the Government has made it possible to provide bus information services to users through the construction of advanced public transportation systems(APTS) and to shorten passenger waiting time. It is common practice to provide bus time through intelligent bus stops, but it is not easy to be popular due to cost factors. Previous studies suggest that the region which traffic conditions are relatively stable makes the bus travel time fluctuation relatively minor, therefore we can post the static bus arrival schedule on the bus stop along the bus route to reduce passenger waiting time. In this study, we will use a systematic way to generate the bus arrival schedule, with the data collected by the bus-onboard-machine and then removed the outliers through the DBSCAN algorithm, to incorporate the driving habits of the majority of drivers. By using previous bus data to verify, the results show that the method proposed by this study can increase the amount of data on time, reducing the time drop between bus arrival schedule and actual arrival time, enhancing the credibility of the bus arrival schedule. Wang, Jin-Yuan 王晉元 2017 學位論文 ; thesis 48 zh-TW
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description 碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === In recent years, with the continued growth of private holdings, many traffic problems have arisen. In this regard, the Government has made it possible to provide bus information services to users through the construction of advanced public transportation systems(APTS) and to shorten passenger waiting time. It is common practice to provide bus time through intelligent bus stops, but it is not easy to be popular due to cost factors. Previous studies suggest that the region which traffic conditions are relatively stable makes the bus travel time fluctuation relatively minor, therefore we can post the static bus arrival schedule on the bus stop along the bus route to reduce passenger waiting time. In this study, we will use a systematic way to generate the bus arrival schedule, with the data collected by the bus-onboard-machine and then removed the outliers through the DBSCAN algorithm, to incorporate the driving habits of the majority of drivers. By using previous bus data to verify, the results show that the method proposed by this study can increase the amount of data on time, reducing the time drop between bus arrival schedule and actual arrival time, enhancing the credibility of the bus arrival schedule.
author2 Wang, Jin-Yuan
author_facet Wang, Jin-Yuan
Tsai, Chieh-Hsiu
蔡杰修
author Tsai, Chieh-Hsiu
蔡杰修
spellingShingle Tsai, Chieh-Hsiu
蔡杰修
THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
author_sort Tsai, Chieh-Hsiu
title THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
title_short THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
title_full THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
title_fullStr THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
title_full_unstemmed THE STUDY OF BUS ARRIVAL SCHEDULE BASED ON DBSCAN ALGORITHM
title_sort study of bus arrival schedule based on dbscan algorithm
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/35r23s
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