Comparing three types of real-time data collection techniques

Counting cameras, Wi-Fi sensors and GPS trackers

Conference paper (2016)

Authors

W. Daamen Transport and Planning - CEG
Y. Yuan Transport and Planning - CEG
D.C. Duives Transport and Planning - CEG
S.P. Hoogendoorn Transport and Planning - CEG
Research Group
Transport and Planning (CEG) (TU Delft)
Copyright: © 2016 W. Daamen, Y. Yuan, D.C. Duives, S.P. Hoogendoorn
Flows Density Travel time Real-time crowd monitoring Counting cameras Wi-Fi sensor GPS tracker
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Published Date

2016-10

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Transport and Planning

Research Group

Transport and Planning

Abstract

Nowadays, many large scale events are organised in urban areas that are not designed to accomodate these large visitor flows, as not only the sheer number of people is larger than anticipated, but also their behaviour is different. For a timely deployment of crowd management measures, continuous information on the real-time traffic state on the event terrain is necessary. In this paper, we focus on local and global real-time measurements, collected during the SAIL Amsterdam event using counting cameras, Wi-Fi sensors and GPS trackers. The counting cameras gave accurate local counts, but did not have route information. The latter was given by Wi-Fi sensors and GPS trackers. However, the penetration rate for Wi-Fi sensors was low, so to get accurate data these sensors can only be used with large visitor numbers. GPS trackers gave detailed, but not continuous information. Based on the joint datasources, counts, travel times, density and flow are estimated. This way, we could provide the real-time information necessary for crowd management.