Micro and Macro Pedestrian Dynamics in Counterflow: the Impact of Social Groups

Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro and macro level original analyses on data characterising pedestrian behaviour in presence of counter-flows and grouping, in particular dyads, acquired through controlled experiments. Results suggest that the presence of dyads and their tendency to walk in a line-abreast formation influences the formation of lanes and, in turn, aggregated observables, such as overall specific flow.

[1]  A. Schadschneider,et al.  Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram , 2012 .

[2]  Armin Seyfried,et al.  Collecting pedestrian trajectories , 2013, Neurocomputing.

[3]  Andreas Schadschneider,et al.  Empirical study on social groups in pedestrian evacuation dynamics , 2017, 1703.08340.

[4]  Claudio Feliciani,et al.  Empirical analysis of the lane formation process in bidirectional pedestrian flow. , 2016, Physical review. E.

[5]  Armin Seyfried,et al.  Quantitative comparison of estimations for the density within pedestrian streams , 2015 .

[6]  Takayuki Kanda,et al.  Potential for the dynamics of pedestrians in a socially interacting group. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Stefania Bandini,et al.  Social Groups and Pedestrian Crowds: Experiment on Dyads in a Counter Flow Scenario , 2016, ArXiv.

[8]  Stefania Bandini,et al.  An agent-based model of pedestrian dynamics considering groups: A real world case study , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[9]  D. Helbing,et al.  The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics , 2010, PloS one.

[10]  Andrea Gorrini,et al.  Investigating the effect of social groups in uni-directional pedestrian flow , 2017, ArXiv.

[11]  Mohcine Chraibi,et al.  Generalized centrifugal-force model for pedestrian dynamics. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Stefania Bandini,et al.  Towards an Integrated Approach to Crowd Analysis and Crowd Synthesis: a Case Study and First Results , 2013, Pattern Recognit. Lett..