Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System
This study mainly focuses on the estimation calculation of urban parking space. Urban parking has always been a problem that plagues governments worldwide. Due to limited parking space, if the parking space is not controlled correctly, with the city’s development, the city will eventually face the r...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/15/3/89 |
| _version_ | 1827749662602297344 |
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| author | Sheng-Ming Wang Wei-Min Cheng |
| author_facet | Sheng-Ming Wang Wei-Min Cheng |
| author_sort | Sheng-Ming Wang |
| collection | DOAJ |
| description | This study mainly focuses on the estimation calculation of urban parking space. Urban parking has always been a problem that plagues governments worldwide. Due to limited parking space, if the parking space is not controlled correctly, with the city’s development, the city will eventually face the result that there is nowhere to park. In order to effectively manage the urban parking problem, using the dynamic parking fee pricing mechanism combined with the concept of shared parking is an excellent way to alleviate the parking problem, but how to quickly estimate the total number of available parking spaces in the area is a big problem. This study provides a fast parking space estimation method and verifies the feasibility of this estimation method through actual data from various types of fields. This study also comprehensively discusses the changing characteristics of parking space data in multiple areas and possible data anomalies and studies and explains the causes of data anomalies. The study also concludes with a description of potential applications of the predictive model in conjunction with subsequent dynamic parking pricing mechanisms and self-driving systems. |
| first_indexed | 2024-03-11T06:30:45Z |
| format | Article |
| id | doaj.art-27ece88252c34cfca6b1a5984a86f8e5 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-11T06:30:45Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-27ece88252c34cfca6b1a5984a86f8e52023-11-17T11:12:57ZengMDPI AGFuture Internet1999-59032023-02-011538910.3390/fi15030089Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee SystemSheng-Ming Wang0Wei-Min Cheng1Department of Interaction Design, National Taipei University of Technology, Taipei 10608, TaiwanDoctoral Program in Design, College of Design, National Taipei University of Technology, Taipei 10608, TaiwanThis study mainly focuses on the estimation calculation of urban parking space. Urban parking has always been a problem that plagues governments worldwide. Due to limited parking space, if the parking space is not controlled correctly, with the city’s development, the city will eventually face the result that there is nowhere to park. In order to effectively manage the urban parking problem, using the dynamic parking fee pricing mechanism combined with the concept of shared parking is an excellent way to alleviate the parking problem, but how to quickly estimate the total number of available parking spaces in the area is a big problem. This study provides a fast parking space estimation method and verifies the feasibility of this estimation method through actual data from various types of fields. This study also comprehensively discusses the changing characteristics of parking space data in multiple areas and possible data anomalies and studies and explains the causes of data anomalies. The study also concludes with a description of potential applications of the predictive model in conjunction with subsequent dynamic parking pricing mechanisms and self-driving systems.https://www.mdpi.com/1999-5903/15/3/89parking lotsparking availabilityparking predictionparking feesshared parking |
| spellingShingle | Sheng-Ming Wang Wei-Min Cheng Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System Future Internet parking lots parking availability parking prediction parking fees shared parking |
| title | Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System |
| title_full | Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System |
| title_fullStr | Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System |
| title_full_unstemmed | Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System |
| title_short | Fast Way to Predict Parking Lots Availability: For Shared Parking Lots Based on Dynamic Parking Fee System |
| title_sort | fast way to predict parking lots availability for shared parking lots based on dynamic parking fee system |
| topic | parking lots parking availability parking prediction parking fees shared parking |
| url | https://www.mdpi.com/1999-5903/15/3/89 |
| work_keys_str_mv | AT shengmingwang fastwaytopredictparkinglotsavailabilityforsharedparkinglotsbasedondynamicparkingfeesystem AT weimincheng fastwaytopredictparkinglotsavailabilityforsharedparkinglotsbasedondynamicparkingfeesystem |