Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting
Metropolitan development has motivated car sharing into an attractive type of car leasing with the help of information technologies. In this paper, we propose a new approach based on deep learning techniques to assess the operation of a station-based car sharing system. First, we analyse the pick-up...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8935857 |
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| _version_ | 1849684018461671424 |
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| author | Daben Yu Zongping Li Qinglun Zhong Yi Ai Wei Chen |
| author_facet | Daben Yu Zongping Li Qinglun Zhong Yi Ai Wei Chen |
| author_sort | Daben Yu |
| collection | DOAJ |
| description | Metropolitan development has motivated car sharing into an attractive type of car leasing with the help of information technologies. In this paper, we propose a new approach based on deep learning techniques to assess the operation of a station-based car sharing system. First, we analyse the pick-up and drop-off operations of the station-based car sharing system, capturing the operational features of car sharing service and the behaviours of vehicle use from a temporal perspective. Then, we introduced an analytical system to detect the system operation concerning the spontaneous deviations derived from user demands from service provisions. We employed Long Short-Term Memory (LSTM) structure to forecast short-term future vehicle uses. An experimental case based on real-world data is reported to demonstrate the effectiveness of this approach. The results prove that the proposed structure generates high-quality predictions and the operation status derived from user demands. |
| format | Article |
| id | doaj-art-c8176475b0eb44a1904db84b2edd644a |
| institution | DOAJ |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-c8176475b0eb44a1904db84b2edd644a2025-08-20T03:23:35ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/89358578935857Demand Management of Station-Based Car Sharing System Based on Deep Learning ForecastingDaben Yu0Zongping Li1Qinglun Zhong2Yi Ai3Wei Chen4School of Transportation and Logistics, Southwest Jiaotong University, 610031 Chengdu, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, 610031 Chengdu, ChinaInstitut für Eisenbahnwesen und Verkehrssicherung, Technische Universität Braunschweig, Pockelsstr. 3, 38106 Braunschweig, GermanyCivil Aviation Flight University of China, 618307 Guanghan, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, 610031 Chengdu, ChinaMetropolitan development has motivated car sharing into an attractive type of car leasing with the help of information technologies. In this paper, we propose a new approach based on deep learning techniques to assess the operation of a station-based car sharing system. First, we analyse the pick-up and drop-off operations of the station-based car sharing system, capturing the operational features of car sharing service and the behaviours of vehicle use from a temporal perspective. Then, we introduced an analytical system to detect the system operation concerning the spontaneous deviations derived from user demands from service provisions. We employed Long Short-Term Memory (LSTM) structure to forecast short-term future vehicle uses. An experimental case based on real-world data is reported to demonstrate the effectiveness of this approach. The results prove that the proposed structure generates high-quality predictions and the operation status derived from user demands.http://dx.doi.org/10.1155/2020/8935857 |
| spellingShingle | Daben Yu Zongping Li Qinglun Zhong Yi Ai Wei Chen Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting Journal of Advanced Transportation |
| title | Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting |
| title_full | Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting |
| title_fullStr | Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting |
| title_full_unstemmed | Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting |
| title_short | Demand Management of Station-Based Car Sharing System Based on Deep Learning Forecasting |
| title_sort | demand management of station based car sharing system based on deep learning forecasting |
| url | http://dx.doi.org/10.1155/2020/8935857 |
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