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Comparing the GPS capabilities of the iPhone 4 and iPhone 3G for vehicle tracking using FreeSim_Mobile

机译:比较iPhone 4和iPhone 3G的GPS功能,以使用FreeSim_Mobile进行车辆跟踪

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In this paper, we present a comparison between the Apple iPhone 3G™ [2] and the iPhone 4™ [2] using the real-time vehicle tracking application FreeSim_Mobile [24]. The built-in GPS receiver and web capabilities of the iPhone™, coupled with a V2I architecture, are used to send a continuous flow of data to a central server for processing by FreeSim [13–15], which is a real-time traffic simulator. The proportional model algorithm [18] is then used to determine the time to traverse a roadway in order to report in real-time the current flow of traffic. At the University of Alaska Anchorage, we currently have vehicle tracking devices installed in 80 probe vehicles that traverse the Anchorage area. Due to the high cost associated with vehicle tracking devices, it is difficult to penetrate a large vehicular network on a finite amount of money, so we must look towards other available technologies, such as the constantly-expanding cellular network. In this paper we look at the iPhone 4™ capability of reporting accurate and reliable locations and compare it to the recent study of the iPhone 3G™ [24]. Drivers equipped with an iPhone 4™ cellular phone and a vehicle tracking device manually timed how long it took to travel along a 0.99 mile/1.59 kilometer section of roadway. The vehicle tracking device and the iPhone 4™ report speed and location every 10 seconds whereas the iPhone 3G™ reported every 8 seconds [24]. From this data, we calculated the amount of time to traverse the test section of roadway using the proportional model algorithm [18] and compared it to the actual amount of time it took to traverse the test section of roadway as manually timed. We found that the vehicle tracking device had an average error factor of 4.94% from the actual time to traverse the section of roadway (as determined by the stopwatch), whereas the iPhone 4™ was found to have an error factor of 1.10%. The outcome of --the case study is used to determine that the iPhone 4™ has higher accuracy than a vehicle tracking device, though it is important to note that the iPhone™ is more limited than a device attached to a vehicle since it can only report its location. If paired with another third party OBD device, however, it can also send the same information as a vehicle tracking device.
机译:在本文中,我们将使用实时车辆跟踪应用程序FreeSim_Mobile [24]对Apple iPhone 3G™[2]和iPhone 4™[2]进行比较。 iPhone™的内置GPS接收器和Web功能,再加上V2I架构,可用于将连续的数据流发送到中央服务器以供FreeSim处理[13-15],这是实时流量。模拟器。然后,比例模型算法[18]用于确定穿越道路的时间,以便实时报告当前的交通流量。在阿拉斯加大学安克雷奇大学,我们目前在横穿安克雷奇地区的80辆探查车中安装了车辆跟踪设备。由于与车辆跟踪设备相关的高昂成本,很难在有限的资金上渗透到大型车辆网络,因此我们必须寻求其他可用技术,例如不断扩展的蜂窝网络。在本文中,我们着眼于iPhone 4™报告准确和可靠位置的功能,并将其与iPhone 3G™的最新研究进行比较[24]。配备有iPhone 4™移动电话和车辆跟踪设备的驾驶员手动设定了在0.99英里/1.59公里的道路段上行驶所需的时间。车辆跟踪设备和iPhone 4™每10秒报告一次速度和位置,而iPhone 3G™每8秒报告一次[24]。根据这些数据,我们使用比例模型算法[18]计算了穿越道路测试区域的时间,并将其与手动定时穿越道路测试区域的实际时间进行了比较。我们发现,车辆追踪设备从穿越道路段的实际时间起平均误差率为4.94%(由秒表确定),而iPhone 4™的平均误差率为1.10%。的结果- -- 该案例研究用于确定iPhone 4™比车辆跟踪设备具有更高的准确性,但是需要注意的是,由于iPhone™仅能报告其位置,因此它比固定在车辆上的设备受到的限制更大。但是,如果与另一个第三方OBD设备配对,它也可以发送与车辆跟踪设备相同的信息。

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