Institute For Geoinformatics, Westfälische Wilhelms-Universität, 48149 Münster, Germany.
Sensors (Basel). 2018 Oct 25;18(11):3623. doi: 10.3390/s18113623.
Road traffic and its impacts affect various aspects of wellbeing with safety, congestion and pollution being of significant concern in cities. Although there have been a large number of works done in the field of traffic data collection, there are several barriers which restrict the collection of traffic data at higher resolution in the cities. Installation and maintenance costs can act as a disincentive to use existing methods (e.g., loop detectors, video analysis) at a large scale and hence limit their deployment to only a few roads of the city. This paper presents an approach for vehicle counting using a low cost, simple and easily installable system. In the proposed system, vehicles (i.e., bicycles, cars, trucks) are counted by means of variations in the WiFi signals. Experiments with the developed hardware in two different scenarios-low traffic (i.e., 400 objects) and heavy traffic roads (i.e., 1000 objects)-demonstrate its ability to detect cars and trucks. The system can be used to provide estimates of vehicle numbers for streets not covered by official traffic monitoring techniques in future smart cities.
道路交通及其影响影响着幸福感的各个方面,安全性、拥堵和污染是城市中亟待关注的重要问题。尽管在交通数据采集领域已经做了大量的工作,但仍存在一些障碍,限制了在城市中以更高的分辨率采集交通数据。安装和维护成本可能会阻碍现有方法(例如,环形探测器、视频分析)的大规模使用,因此限制了它们仅部署在城市的少数几条道路上。本文提出了一种使用低成本、简单且易于安装的系统进行车辆计数的方法。在提出的系统中,车辆(即自行车、汽车、卡车)通过 WiFi 信号的变化来计数。在两种不同场景下对开发的硬件进行了实验——低交通量(即 400 个目标)和重交通量道路(即 1000 个目标)——证明了它检测汽车和卡车的能力。该系统可用于为未来智能城市中未被官方交通监测技术覆盖的街道提供车辆数量估计。