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WiFi Sensing System for Monitoring Public Transportation Ridership: A Case Study
KSCE Journal of Civil Engineering ( IF 2.2 ) Pub Date : 2020-08-05 , DOI: 10.1007/s12205-020-0316-7
Seunghan Ryu , Byungkyu Brian Park , Samy El-Tawab

Public transportation system as an essential mode of travel has been investigated by local governments and transportation agencies to capture passengers’ travel behaviors. Despite their efforts, agencies especially in small to medium sized cities could not afford to collect such behaviors data due to significant costs associated with the data collection system. In this study, we presented a WiFi sensing system which makes such data collection feasible with low-cost devices. We demonstrated the WiFi sensing system’s applicability in estimating passengers’ origin-destination (O/D) travel and passengers’ bus stop waiting times via video validation. In addition, WiFi signal strength was analyzed to further improve accuracy of the system. To this end, sliding window algorithm was adopted to mitigate the randomness of mobile devices’ signals. Our small-scale proof of concept experiment was conducted at four bus stops along the main transit corridor in Charlottesville, Virginia. Results indicated that the system was able to re-identify 91% of bus passengers and passengers bus stop waiting time error was as small as 7 seconds. It is expected that the system can be a viable low-cost Internet of Things (IoT) solution for monitoring public transit system performance.



中文翻译:

WiFi传感系统,用于监控公共交通乘车情况:一个案例研究

地方政府和运输机构已经研究了公共交通系统作为一种基本的出行方式,以记录乘客的出行行为。尽管付出了很大的努力,但由于与数据收集系统相关的巨额成本,特别是中小型城市的代理商无法负担此类行为数据。在这项研究中,我们介绍了一种WiFi传感系统,该系统可通过低成本设备实现此类数据收集。我们展示了WiFi传感系统在通过视频验证来估计乘客的出发地(O / D)行程和乘客的公交车站等待时间方面的适用性。此外,分析了WiFi信号强度,以进一步提高系统的准确性。为此,采用了滑动窗口算法来减轻移动设备信号的随机性。我们的小型概念验证实验是在弗吉尼亚州夏洛茨维尔的主要公交走廊沿四个公交车站进行的。结果表明,该系统能够重新识别91%的公共汽车乘客,并且乘客公共汽车站的等待时间误差小至7秒。预计该系统可以成为可行的低成本物联网(IoT)解决方案,以监控公交系统的性能。

更新日期:2020-08-05
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