Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System
碩士 === 國立高雄第一科技大學 === 運籌管理系企業管理碩士班 === 102 === Kaohsiung Mass Rapid Transit (MRT) system has been a major public transportation system in Kaohsiung area. The mitigation plan for the surge in traffic demand during the special events/activities frequently hosted by Kaohsiung city becomes a challenge f...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/96gnt6 |
id |
ndltd-TW-102NKIT5682035 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-102NKIT56820352019-05-15T21:32:54Z http://ndltd.ncl.edu.tw/handle/96gnt6 Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System 捷運大型活動運量預測-以高雄捷運為例 Jia-Bin Hu 胡家斌 碩士 國立高雄第一科技大學 運籌管理系企業管理碩士班 102 Kaohsiung Mass Rapid Transit (MRT) system has been a major public transportation system in Kaohsiung area. The mitigation plan for the surge in traffic demand during the special events/activities frequently hosted by Kaohsiung city becomes a challenge for the operator of Kaohsiung MRT system. An accurate estimation for traffic volumes to Kaohsiung MRT in a special event is essential and fundamental to a successful traffic mitigation plan. This study applied the Gray Relational Analysis and Gray Forecasting Model to estimate the traffic volumes to Kaohsiung MRT during a special event. Three different special events, which are regularly hosted in Kaohsiung city, were used to test the proposed method. The preliminary tests showed that the accuracy of the estimation could be improved as the key factors are valid and substantial data set is cumulated. Ta-Hui Yang Chen-Cheng Chen 楊大輝 陳珍珍 2014 學位論文 ; thesis 99 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立高雄第一科技大學 === 運籌管理系企業管理碩士班 === 102 === Kaohsiung Mass Rapid Transit (MRT) system has been a major public transportation system in Kaohsiung area. The mitigation plan for the surge in traffic demand during the special events/activities frequently hosted by Kaohsiung city becomes a challenge for the operator of Kaohsiung MRT system. An accurate estimation for traffic volumes to Kaohsiung MRT in a special event is essential and fundamental to a successful traffic mitigation plan. This study applied the Gray Relational Analysis and Gray Forecasting Model to estimate the traffic volumes to Kaohsiung MRT during a special event. Three different special events, which are regularly hosted in Kaohsiung city, were used to test the proposed method. The preliminary tests showed that the accuracy of the estimation could be improved as the key factors are valid and substantial data set is cumulated.
|
author2 |
Ta-Hui Yang |
author_facet |
Ta-Hui Yang Jia-Bin Hu 胡家斌 |
author |
Jia-Bin Hu 胡家斌 |
spellingShingle |
Jia-Bin Hu 胡家斌 Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
author_sort |
Jia-Bin Hu |
title |
Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
title_short |
Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
title_full |
Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
title_fullStr |
Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
title_full_unstemmed |
Traffic Volume Estimation in Special Events for Mass Rapid Transit-Case Study for Kaohsiung Mass Rapid Transit System |
title_sort |
traffic volume estimation in special events for mass rapid transit-case study for kaohsiung mass rapid transit system |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/96gnt6 |
work_keys_str_mv |
AT jiabinhu trafficvolumeestimationinspecialeventsformassrapidtransitcasestudyforkaohsiungmassrapidtransitsystem AT hújiābīn trafficvolumeestimationinspecialeventsformassrapidtransitcasestudyforkaohsiungmassrapidtransitsystem AT jiabinhu jiéyùndàxínghuódòngyùnliàngyùcèyǐgāoxióngjiéyùnwèilì AT hújiābīn jiéyùndàxínghuódòngyùnliàngyùcèyǐgāoxióngjiéyùnwèilì |
_version_ |
1719116799043174400 |