iParking: A parking management framework
iParking: A parking management framework
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DOI：
10.1109/itst.2011.6060133
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发表时间：
2011-10
期刊：
影响因子：
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通讯作者：
J. Chinrungrueng;S. Dumnin;R. Pongthornseri
中科院分区：
文献类型：
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作者：
J. Chinrungrueng;S. Dumnin;R. Pongthornseri
在这项工作中，我们提出了一个停车场管理框架，监控车辆驶入和驶出，计算可用的停车位的数量，并最终传播的信息给停车场的客户。对于监控车辆，我们展示了我们的磁传感器网络的实现。磁传感器能够收集经过传感器的车辆的数量，估计车辆的速度和长度。数据通过有线或无线链路传送到服务器，并存储在数据库中以供分析，并且可以在进入停车场之前向客户显示可用停车位的数量。所收集的信息通过Twitter和Facebook等社交网络传播。测试结果表明，该系统产生了一个非常准确的车辆计数。所获得的数据与进入停车设施的司机的特征一致。与我们的系统收集的数据分析，提供有用的信息，我们未来的预测停车位将根据。
In this work we have proposed a parking management framework that monitors vehicles driving in and out, calculates the number of available parking spaces, and finally disseminates the information to the parking's customers. For monitoring vehicles, we show our implementation of magnetic sensor network. The magnetic sensor is capable of collecting number of vehicle passing over the sensor, estimating vehicle's speed and length. The data is communicated over wired or wireless links to the server and is stored in the database for analysis and the number of available parking spaces can be displayed for customers before entering the parking garage. The dissemination of the information collected is through social network such as Twitter and Facebook. The test results show that the system yields a very accurate vehicle counting. The data obtained are consistent with the characteristics of drivers who access the parking facility. Analysis of data collected with our system is shown to provide useful information on which our future prediction of parking spaces will be based.