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它可以机会主义地收集信息，这些信息可以被重新用于最初打算之外的应用。一个这样的机会是在车辆交通监测中，通过对收发信机的采样作为车辆的代理，从而确定交通密度和流量。这种类型的数据的一个优点是它是有标签的，尽管它仍然是匿名的。这项Engage赠款将探索一种完整的数据收集系统，该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/或无线电扫描将被用来确定在技术上是否有可能获得足够大的样本量，以达到准确的交通计数目的。具体地说，莫尔运输咨询有限公司感兴趣的是确定交叉路口转弯移动计数的适用性。为了这次交战机会，将建立一个探头的无线传感器网络的原型并部署，以收集为此目的的网络协议和设备信息。如果可行，无线电频率扫描仪将被纳入，以潜在地提取有用的第三级数据。其中一个挑战是制造易于安装和电池寿命长的探头，我们将研究坚固耐用的太阳能供电探头设计。每个探测器的数据将通过全球移动通信系统(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的流量计数进行比较。

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.