Literature DB >> 22587153

Properties of pedestrians walking in line: fundamental diagrams.

Asja Jelić1, Cécile Appert-Rolland, Samuel Lemercier, Julien Pettré.   

Abstract

We present experimental results obtained for a one-dimensional pedestrian flow using high precision motion capture. The full pedestrians' trajectories are obtained. In this paper, we focus on the fundamental diagram, and on the relation between the instantaneous velocity and spatial headway (distance to the predecessor). While the latter was found to be linear in previous experiments, we show that it is rather a piecewise linear behavior which is found if larger density ranges are covered. Indeed, our data clearly exhibits three distinct regimes in the behavior of pedestrians that follow each other. The transitions between these regimes occur at spatial headways of about 1.1 and 3 m, respectively. This finding could be useful for future modeling.

Year:  2012        PMID: 22587153     DOI: 10.1103/PhysRevE.85.036111

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

1.  Analysis of emergent patterns in crossing flows of pedestrians reveals an invariant of 'stripe' formation in human data.

Authors:  Pratik Mullick; Sylvain Fontaine; Cécile Appert-Rolland; Anne-Hélène Olivier; William H Warren; Julien Pettré
Journal:  PLoS Comput Biol       Date:  2022-06-09       Impact factor: 4.779

Review 2.  Virtual Sensing and Virtual Reality: How New Technologies Can Boost Research on Crowd Dynamics.

Authors:  Mehdi Moussaïd; Victor R Schinazi; Mubbasir Kapadia; Tyler Thrash
Journal:  Front Robot AI       Date:  2018-07-13

3.  How people with disabilities influence crowd dynamics of pedestrian movement through bottlenecks.

Authors:  Paul Geoerg; Jette Schumann; Maik Boltes; Max Kinateder
Journal:  Sci Rep       Date:  2022-08-22       Impact factor: 4.996

4.  Spontaneous gait phase synchronization of human to a wheeled mobile robot with replicating gait-induced upper body oscillating motion.

Authors:  Satoshi Yagi; Yoshihiro Nakata; Yutaka Nakamura; Hiroshi Ishiguro
Journal:  Sci Rep       Date:  2022-09-29       Impact factor: 4.996

5.  A Hybrid Tracking System of Full-Body Motion Inside Crowds.

Authors:  Maik Boltes; Juliane Adrian; Anna-Katharina Raytarowski
Journal:  Sensors (Basel)       Date:  2021-03-17       Impact factor: 3.576

  5 in total

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