Vehicular traffic counts from wireless network protocols

配备WiFi和蓝牙的设备的无处不在的性质使得其有机会将可被重新用于除最初预期之外的应用的信息隐藏起来。一个这样的机会是在车辆交通监控中，其中收发器的采样用作车辆的代理，并因此用于交通密度和流量。这种类型的数据的一个优点，虽然仍然是匿名的，它是有标签的。这项参与赠款将探索一个完整的数据收集系统，利用各种无线网络技术和设备来收集推断的交通数据。协议和/或无线电扫描将用于确定技术上是否可能获得足够大的样本量，以实现准确的流量计数目的。具体而言，MORR交通咨询有限公司有兴趣确定交叉口转弯运动计数的适用性。对于该Engage机会，将原型化并部署探头的无线传感器网络，以收集用于此目的的网络协议和设备信息。如果可行的话，将采用无线电频率扫描仪，以便也有可能提取有用的第三类数据。其中一个挑战是创建易于安装和具有较长电池寿命的探头，将研究坚固的太阳能探头设计。来自每个探测器的数据将通过全球移动的通信系统（GSM）蜂窝网络传输到中央服务器。服务器将解析接收到的数据并将其存储在数据库中。数据的质量将与实际交通量进行比较。

The ubiquitous nature of WiFi and Bluetooth equipped devices has made it opportunistic to scavenge information that can be repurposed for applications other than initially intended. One such opportunity is in vehicular traffic monitoring, whereby sampling of transceivers serve as proxies for vehicles and consequently for traffic density and flow. An advantage of this type of data, although still anonymous is that it is labelled. This Engage grant will explore a complete data collection system that utilizes a variety of wireless networking technologies and devices to collect inferred traffic data. The protocol and/or radio scans will be used to determine if it is technically possible to obtain a large enough sample size for accurate traffic counting purposes. Specifically, MORR Transportation Consulting Ltd. is interested in determining the applicability for intersection turning movement counts. For this Engage opportunity, a wireless sensor network of probes will be prototyped and deployed to collect network protocol and device information for this purpose. If practical, radio frequencies scanners will be incorporated to potentially also extract useful tertiary data. One of the challenges is creating probes that are easily setup and a have a long battery life, a rugged solar powered probe design will be investigated. Data from each probe will be transmitted to a central server over a Global System for Mobile Communications (GSM) cellular network. The server will parse the data received and store it in a database. The quality of the data will be compared with actual traffic counts.