This title appears in the Scientific Report :
2010
Please use the identifier:
http://dx.doi.org/10.1016/j.physa.2009.12.015 in citations.
Methods for measuring pedestrian density, flow, speed and direction with minimal scatter
Methods for measuring pedestrian density, flow, speed and direction with minimal scatter
The progress of image processing during recent years allows the measurement of pedestrian characteristics on a "microscopic" scale with low costs. However, density and flow are concepts of fluid mechanics defined for the limit of infinitely many particles. Standard methods of measuring the...
Saved in:
Personal Name(s): | Steffen, B. |
---|---|
Seyfried, A. | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: | Physica / A, 389 (2010) S. 1902 - 1910 |
Imprint: |
Amsterdam
North Holland Publ. Co.
2010
|
Physical Description: |
1902 - 1910 |
DOI: |
10.1016/j.physa.2009.12.015 |
Document Type: |
Journal Article |
Research Program: |
Computational Science and Mathematical Methods Scientific Computing |
Series Title: |
Physica A
389 |
Subject (ZB): | |
Publikationsportal JuSER |
The progress of image processing during recent years allows the measurement of pedestrian characteristics on a "microscopic" scale with low costs. However, density and flow are concepts of fluid mechanics defined for the limit of infinitely many particles. Standard methods of measuring these quantities locally (e.g. counting heads within a rectangle) suffer from large data scatter. The remedy of averaging over large spaces or long times reduces the possible resolution and inhibits the gain obtained by the new technologies.In this contribution we introduce a concept for measuring microscopic characteristics on the basis of pedestrian trajectories. Assigning a personal space to every pedestrian via a Voronoi diagram reduces the density scatter. Similarly, calculating direction and speed from position differences between times with identical phases of movement gives low-scatter sequences for speed and direction. Finally we discuss the methods to obtain reliable values for derived quantities and new possibilities of an in-depth analysis of experiments. The resolution obtained indicates the limits of stationary state theory. (C) 2009 Elsevier B.V. All rights reserved. |