文章基本信息

标题：Evaluating the Reliability based Park-Crowd for Real- Time Parking Space Information
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作者：K Radha ; Suram Kavya ; V Karthik 等
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：5
页码：413-420
出版社：IJCSN publisher
摘要：The scarcity of parking spaces in cities leads to a high demand for timely information about their availability. In this paper, we propose a crowd sensed parking system, namely Park Crowd, to aggregate on-street and roadside parking space information reliably, and to disseminate this information to drivers in a timely manner. Our system not only collects and disseminates basic information, such as parking hours and price, but also provides drivers with information on the real time and future availability of parking spaces based on aggregated crowd knowledge. To improve the reliability of the information being disseminated, we dynamically evaluate the knowledge of crowd workers based on the veracity of their answers to a series of location-dependent point of interest control questions. We propose a logistic regression-based method to evaluate the reliability of crowd knowledge for real-time parking space information. Moreover, to incentivise wider participation of crowd workers, a reliability-based incentivization method is proposed to reward workers according to their reliability and expertise levels.
关键词：Crowd worker; veracity; park crowd