Comparing three types of real-time data collection techniques: Counting cameras, Wi-Fi sensors and GPS trackers

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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.
Original languageEnglish
Title of host publicationProceedings of Pedestrian and Evacuation Dynamics 2016
EditorsWeiguo Song, Jian Ma, Libi Fu
PublisherUniversity of Science and Technology of China Press
Pages568-574
Number of pages7
ISBN (Print)978-7-312-04077-1
Publication statusPublished - Oct 2016
Event8th International Conference on Pedestrian and Evacuation Dynamics - Hefei, China
Duration: 17 Oct 201621 Oct 2016
Conference number: 8
http://ped2016.ustc.edu.cn/

Conference

Conference8th International Conference on Pedestrian and Evacuation Dynamics
Abbreviated titlePED 2016
Country/TerritoryChina
CityHefei
Period17/10/1621/10/16
Internet address

Keywords

  • Real-time crowd monitoring
  • Counting cameras
  • Wi-Fi sensor
  • GPS tracker
  • travel time
  • density
  • flows

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