01622566

Component

https://doi.org/10.3141/2644-09

https://rosap.ntl.bts.gov/view/dot/49463

Monitoring nonmotorized 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 each particular sensor’s range. Moreover, most agencies do not have continuous pedestrian counts mainly because of technological limitations. Wireless data collection technologies, however, can capture crowd dynamics by scanning mobile devices. Data collection that takes advantage of mobile devices has gained much interest in the transportation literature as a result of its low cost, ease of implementation, and richness of the captured data. In this paper, algorithms to filter and aggregate data collected by wireless sensors are investigated, as well as how to fuse additional data sources to improve the estimation of various pedestrian-based performance measures. Procedures to accurately filter the noise in the collected data and to find pedestrian flows, wait times, and counts with wireless sensors are presented. The developed methods are applied to a 2-month-long collection of public transportation terminal data carried out with the use of six sensors. Results point out that if the penetration rate of discoverable devices is known, then it is possible to accurately estimate the number of pedestrians, pedestrian flows, and average wait times in the detection zone of the developed sensors.

01632580

17-02095

English

pp 72–82

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309441728

Digital/other

Figures (8) ; References (43) ; Tables (3)

Algorithms; Bluetooth technology; Data collection; Data fusion; Methodology; Pedestrian counts; Remote sensing; Waiting time

IEEE 802.11 (Standard)

Data and Information Technology; Operations and Traffic Management; Pedestrians and Bicyclists

NTL, TRIS, TRB, ATRI

Dec 8 2016 10:45AM

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