PSPS: An IoT Based Predictive Smart Parking System

被引:0
|
作者
Lenka, Rakesh Kumar [1 ]
Barik, Rabindra K. [2 ]
Das, Nihal Kumar [1 ]
Agarwal, Kriti [1 ]
Mohanty, Debesh [1 ]
Vipsita, Swati [1 ]
机构
[1] IIIT Bhubaneswar, Dept Comp Sci & Engn, Bhubaneswar, Odisha, India
[2] KIIT Univ, Sch Comp Applicat, Bhubaneswar, Odisha, India
关键词
Logistic Regression; Predictive Model; Backtracking; Smart City; Traffic Congestion; Parking Space;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
It is quite a difficult and tedious job to look for a free or vacant parking space while traveling. Considering the fact that cities grow exponentially in terms of traffic and population, the situation is quite complex. It is an unpleasant experience when you go to a parking space only to find out that it is packed and you have no idea where to go next. The proposed scheme is a real-time navigation service to the parking space along with a probabilistic emptiness value based on your Estimated Time of Arrival (ETA) to the location and can be accessed from your personal devices. This intelligent system reroutes you to the next nearest parking space if the desired one gets filled midway of your journey. The results show that the proposed system has a better potential of reducing traffic congestion caused due to people searching for parking spaces. Performance analysis done through various simulations give an insight into its practicality and efficiency.
引用
收藏
页码:311 / 317
页数:7
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