Improving location accuracy of traffic data collection using Bluetooth/WiFi Receivers

智能手机的广泛使用为收集交通数据提供了丰富的依据。智能手机通常会发出蓝牙和/或WiFi信号，这些信号可以被专门的传感器检测到。目前的技术可以使用路边设备检测这些信号。一个需要改进的领域是提高信号源的定位精度。这在研究空间范围有限、交通拥堵普遍的交通数据收集中尤其有用。目前，WiFi和蓝牙传感器以单一形式用于检测道路使用者的存在。理论上有可能使用一组传感器同时从同一信号发射器收集数据以提高定位精度。该项目包括理论和实验工作，以开发这种技术并研究其实际可行性。将研究各种设备设置协议和数据集成算法，以提高道路分段的位置精度估计。这项研究也将为更多不同的交通设施奠定基础，除了道路段，其中的定位精度估计预计更具挑战性。

The widespread use of smartphones is providing rich grounds to gather traffic data. Smartphones often emitBluetooth and/or WiFi signatures which can be detected by specialized sensors. Current technologies exist todetect these signatures using roadside equipment. An area of improvement is to enhance the positionalaccuracy of the signal source. This is especially useful in traffic data collection when spatial scope of study islimited and traffic congestion is common. Currently, WiFi and Bluetooth sensors are used in singular form todetect road user presence. There is a theoretical potential to use a cluster of sensors to simultaneously gatherdata from the same signal emitter to enhance positional accuracy. This project involves theoretical andexperimental work to develop such technology and investigate its practical feasibility. Various equipmentset-up protocols and data integration algorithms will be investigated in order to improve positional accuracyestimate on road segments. The study will also lay the ground for more varied traffic facilities, aside from roadsegments, in which the positional accuracy estimate is expected to be more challenging.