United States Department of Transportation
i
Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors
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2016-08-01
[PDF-1.16 MB]
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Abstract:Monitoring non motorized traffic is gaining more attention in the context of transportation studies. Most of the traditional pedestrian monitoring technologies focus on counting pedestrians passing through a fixed location in the network. It is thus not possible to anonymously track the movement of individuals or groups as they move outside of each particular sensor’s range. Moreover, most agencies do not have continuous pedestrian counts mainly because of technological limitations. However, wireless data collection technologies can capture crowd dynamics by scanning mobile devices. Data collection that takes advantage of mobile devices has gained much interest in the transportation literature due to its low cost, ease of implementation and richness of captured data (1). In this paper, algorithms to filter and aggregate data collected by wireless sensors and how to fuse additional data sources to improve the estimation of various pedestrian based performance measures are investigated. Procedures to accurately filter the noise in the collected data and find pedestrian flows, wait times, and counts using wireless sensors are presented. The developed methodologies are applied to a 2 month long public transportation terminal data collected by six sensors. The results pointed out that if the penetration rate of discoverable devices is known, it is possible to accurately estimate the number of pedestrians, pedestrian flows and average wait times within the detection zone of the developed sensors.
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