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

使用蓝牙/WiFi 接收器提高交通数据收集的定位精度

• 批准号: 519798-2017
• 负责人: Ismail, KarimAldin
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639847
• 关键词: Improving; location; accuracy; traffic; data

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.

智能手机的广泛使用为收集交通数据提供了丰富的基础。智能手机通常会发出蓝牙和/或WiFi签名，这些签名可以被专门的传感器检测到。现有技术使用路边设备来检测这些特征。改进的一个方面是提高信号源的定位精度。当研究的空间范围有限且交通拥挤时，这在交通数据收集中特别有用。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采集来自同一信号发射器的数据，以提高定位精度。本项目涉及理论和实验工作，以开发此类技术并研究其实际可行性。各种设备设置协议和数据集成算法将进行研究，以提高路段上的位置精度估计。该研究还将为更多不同的交通设施奠定基础，除了路段，其中位置精度估计预计更具挑战性。