SPA: Smart Parking Algorithm based on Driver Behavior and Parking Traffic Predictions

doi:10.1109/ACCESS.2019.2904972

淡江大學機構典藏 > 工學院 > 人工智慧學系 > 期刊論文 > Item 987654321/124243

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题名:	SPA: Smart Parking Algorithm based on Driver Behavior and Parking Traffic Predictions
作者:	Chang, Chih-yung
关键词:	Predictions;parking lot;parking behavior;parking grid scheduling;smart parking
日期:	2019-03-14
上传时间:	2023-07-06 12:06:11 (UTC+8)
出版者:	IEEE
摘要:	Smart parking problems have received much attention in recent years. In literature, many smart parking allocation algorithms that considered the parking grid reservation and recommendation have been proposed. However, the parking policies for maximizing parking rate and benefits still can be improved. This paper proposes a smart parking allocation algorithm (SPA), which aims to maximize the benefits created by a given parking lot while guaranteeing the quality of parking services. The proposed SPA algorithm predicts the driver behavior and estimated parking traffic in the near future based on the historical parking records. These predictions help SPA to better match the parking demands and the resource of available parking grids and, hence, improve the utilization and the created benefit of each parking grid. The proposed SPA applies three policies, namely worst-fit (WF-SPA), best-fit (BF-SPA), and parking behavior forecast (PBF-SPA), to allocate the available grids to the vehicles. Performance evaluations reveal that the proposed SPA outperforms exiting work in terms of accumulated parking rate and service quality and, hence, improves the benefits of a given parking lot
關聯:	IEEE ACCESS 7,　p.34275-34288
DOI:	10.1109/ACCESS.2019.2904972
显示于类别:	[人工智慧學系] 期刊論文

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