The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model

碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 100 === This research, applying Grey system theory, can diagnose and calculate a model for the remains of nearby parking lots. Moreover, it can also be inference for next time-frame remains of parking by this prediction model. According to investigation of Inst...

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Main Authors: Ming-Cheng Ko, 柯明政
Other Authors: Jyh-Horng Chou
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/84931845367656862619
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spelling ndltd-TW-100NKIT53920052015-10-13T21:33:08Z http://ndltd.ncl.edu.tw/handle/84931845367656862619 The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model 應用灰色預測模型於短期剩餘可停車位之研究 Ming-Cheng Ko 柯明政 碩士 國立高雄第一科技大學 系統資訊與控制研究所 100 This research, applying Grey system theory, can diagnose and calculate a model for the remains of nearby parking lots. Moreover, it can also be inference for next time-frame remains of parking by this prediction model. According to investigation of Institute of Transportation of MOTC, there is 30% traffic load which has been generated by finding available parking spaces on the street. Therefore, it is an important task to reduce the time period for finding a parking place for drivers. Within these years, the wireless telecommunication technology has been improving by leaps and bounds. People can easy to get the information and location of parking spaces in nearby one’s final destination. However this online information, from devices providers or government internet service, cannot predict the available parking spaces while you approach the neighborhood of your point. Jyh-Horng Chou 周至宏 2012 學位論文 ; thesis 121 zh-TW
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language zh-TW
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description 碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 100 === This research, applying Grey system theory, can diagnose and calculate a model for the remains of nearby parking lots. Moreover, it can also be inference for next time-frame remains of parking by this prediction model. According to investigation of Institute of Transportation of MOTC, there is 30% traffic load which has been generated by finding available parking spaces on the street. Therefore, it is an important task to reduce the time period for finding a parking place for drivers. Within these years, the wireless telecommunication technology has been improving by leaps and bounds. People can easy to get the information and location of parking spaces in nearby one’s final destination. However this online information, from devices providers or government internet service, cannot predict the available parking spaces while you approach the neighborhood of your point.
author2 Jyh-Horng Chou
author_facet Jyh-Horng Chou
Ming-Cheng Ko
柯明政
author Ming-Cheng Ko
柯明政
spellingShingle Ming-Cheng Ko
柯明政
The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
author_sort Ming-Cheng Ko
title The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
title_short The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
title_full The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
title_fullStr The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
title_full_unstemmed The Simulation of Available Parking Spaces within Temporarily Period by Grey Prediction Model
title_sort simulation of available parking spaces within temporarily period by grey prediction model
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/84931845367656862619
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