Comparing three types of real-time data collection techniques

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

Daamen, W. (TU Delft Transport and Planning)
Yuan, Y. (TU Delft Transport and Planning)
Duives, D.C. (TU Delft Transport and Planning)
Hoogendoorn, S.P. (TU Delft Transport and Planning)

Song, Weiguo (editor)
Ma, Jian (editor)
Fu, Libi (editor)

2016-10

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.

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

http://resolver.tudelft.nl/uuid:cb7f3340-074b-4475-a67f-6ca20d7f6672

University of Science and Technology of China Press

978-7-312-04077-1

Proceedings of Pedestrian and Evacuation Dynamics 2016

8th International Conference on Pedestrian and Evacuation Dynamics, 2016-10-17 → 2016-10-21, Hefei, China

Institutional Repository

conference paper

© 2016 W. Daamen, Y. Yuan, D.C. Duives, S.P. Hoogendoorn