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Intelligent Mobile Application for Traffic Monitoring

机译:交通监控智能移动应用

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The usage of mobile devices has increased dramatically in recent years. These devices serve us in many practical ways and provide us with many services -- many of them in real-time. The delivery of streaming audio, streaming video and internet content to these devices has become common place. One emerging application in recent years is the use of mobile devices for tracking local traffic incidents and there are several such providers of this content on the Internet as Google Maps, here.com, Twitter, various Department of Transportation's web sites, various radio stations websites, and many others. Some sites as Twitter only provide text information but are updated often with recent data. Map enhanced websites provide visual information but are often not updated as often. The goal of this project is to integrate all the sources of traffic information together in one place and filter intelligently all the recent incident data so the results are as accurate and up to date as possible thus minimizing the number of false reports and incidents. This process, implemented for iOS 7 using XCode and Objective-C, allows the user to view traffic reports for 15 large US cities with the capabilities for the addition of many more locations. Results for the app are compared with the major individual sources and the percentage of additional incidents detected and false incidents incorrectly identified for several large cities are provided.
机译:近年来,移动设备的用法急剧增加。这些设备以许多实际的方式为我们提供服务,并为我们提供许多服务 - 其中许多实时。向这些设备传送流音频,流视频和Internet内容已成为常见的地方。近年来一个新兴的应用程序是使用移动设备来跟踪当地交通事故,并且互联网上有几个这样的内容提供者作为谷歌地图,这里,Twitter,各种交通部门网站,各种广播电台网站和许多其他人。某些网站作为Twitter仅提供文本信息,但通常使用最近的数据更新。映射增强的网站提供可视信息,但通常不会经常更新。该项目的目标是将交通信息源集成在一个地方,并智能地过滤所有最近的事件数据,因此结果尽可能准确,最新,从而最大限度地减少虚假报告和事件的数量。使用Xcode和Objective-C为iOS 7实现的此过程允许用户查看15个大型美国城市的流量报告,其中包含更多更多位置的功能。将该应用程序与主要的个人来源进行比较,并提供了检测到的额外事件的百分比和对几个大城市不正确的错误事件。

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