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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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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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.
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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 |
work_keys_str_mv |
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