Abstract
We investigate via extensive experimental data the dynamics of pedestrians walking in a corridor-shaped landing in a building at Eindhoven University of Technology. With year-long automatic measurements employing a Microsoft Kinect™ 3D-range sensor and ad hoc tracking techniques, we acquired few hundreds of thousands pedestrian trajectories in real-life conditions. Here, we discuss the asymmetric features of the dynamics in the two walking directions with respect to the flights of stairs (i.e. ascending or descending). We provide a detailed analysis of position and speed fields for the cases of pedestrians walking alone undisturbed and for couple of pedestrians in counter-flow. Then, we show average walking velocities exploring all the observed combinations in terms of numbers of pedestrians and walking directions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boltes, M., Seyfried, A.: Collecting pedestrian trajectories. Neurocomputing 100, 127–133 (2013)
Brščić, D., Kanda, T., Ikeda, T., Miyashita, T.: Person tracking in large public spaces using 3-D range sensors. IEEE Trans. Hum. Mach. Syst. 43(6), 522–534 (2013)
Brščić, D., Zanlungo, F., Kanda, T.: Density and velocity patterns during one year of pedestrian tracking. Transp. Res. Procedia 2, 77–86 (2014)
Corbetta, A., Bruno, L., Muntean, A., Toschi, F.: High statistics measurements of pedestrian dynamics. Transp. Res. Procedia 2, 96–104 (2014)
Corbetta, A., Lee, C., Benzi, R., Muntean, A., Toschi, F.: Fluctuations and mean behaviours in diluted pedestrian flows (2015). Manuscript
Corbetta, A., Muntean, A., Vafayi, K.: Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method. Math. Biosci. Eng. MBE 12(2), 337–356 (2015)
Hoskins, B.L., Milke, J.A.: Differences in measurement methods for travel distance and area for estimates of occupant speed on stairs. Fire Saf. J. 48, 49–57 (2012)
Moussaïd, M., Helbing, D., Garnier, S., Johansson, A., Combe, M., Theraulaz, G.: Experimental study of the behavioural mechanisms underlying self-organization in human crowds. Proc. Roy. Soc. Lond. B Biol. Sci. 276, 2755–2762 (2009)
Roggen, D., Wirz, M., Tröster, G., Helbing, D.: Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods. Netw. Heterogen. Media 6(3), 521–544 (2011)
Ronchi, E., Reneke, P.A., Kuligowski, E.D., Peacock, R.D.: An analysis of evacuation travel paths on stair landings by means of conditional probabilities. Fire Saf. J. 65, 30–40 (2014)
Seer, S., Brändle, N., Ratti, C.: Kinects and human kinetics: a new approach for studying pedestrian behavior. Transp. Res. Part C Emerg. Technol. 48, 212–228 (2014)
The OpenPTV Consortium: OpenPTV: Open source particle tracking velocimetry. http://www.openptv.net/ (2012)
Willneff, J.: A spatio-temporal matching algorithm for 3D particle tracking velocimetry. Ph.D. thesis, ETH Zürich (2003)
Zanlungo, F., Ikeda, T., Kanda, T.: Potential for the dynamics of pedestrians in a socially interacting group. Phys. Rev. E 89, 012811 (2014)
Zhang, J., Klingsch, W., Schadschneider, A., Seyfried, A.: Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions. J. Stat. Mech. Theory Exp. 2011(6), P06004 (2011)
Zhang, J., Seyfried, A.: Comparison of intersecting pedestrian flows based on experiments. Phys. A 405, 316–325 (2014)
Acknowledgements
We thank A. Holten and G. Oerlemans (Eindhoven, NL) for their help in the establishment of the measurement set-up at Eindhoven University of Technology and A. Liberzon (Tel Aviv, IL) for his help in the adaptation of the OpenPTV library. We acknowledge Iker Zuriguel (Pamplona, Spain) for the discussions during the TGF ’15 conference that led to Fig. 4. We acknowledge the support from the Brilliant Streets research program of the Intelligent Lighting Institute at the Eindhoven University of Technology, NL. AC was founded by a Lagrange Ph.D. scholarship granted by the CRT Foundation, Turin, IT and by Eindhoven University of Technology, NL.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Corbetta, A., Lee, CM., Muntean, A., Toschi, F. (2016). Asymmetric Pedestrian Dynamics on a Staircase Landing from Continuous Measurements. In: Knoop, V., Daamen, W. (eds) Traffic and Granular Flow '15. Springer, Cham. https://doi.org/10.1007/978-3-319-33482-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-33482-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-33481-3
Online ISBN: 978-3-319-33482-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)