Impact of holding umbrella on uni- and bi-directional pedestrian flow: experiments and modeling

ABSTRACT In this paper, the impact of holding an umbrella on the uni- and bi-directional flow has been investigated via experiment and modeling. In experiments, pedestrians walk clockwise/anti-clockwise in a ring-shaped corridor under the normal situation and holding umbrella situation. In the unidirectional flow, the flow rate under the holding umbrella situation decreases from 0.1 to 0.25 ped/s/m when compared to the normal situation. In the holding umbrella situation, the bidirectional flow rate even reduces to 0.2 ped/s/m in contrast to the unidirectional flow. In the bidirectional flow, pedestrians segregate into two opposite moving streams very quickly under the normal situation and have right-walking preference. Under the holding umbrella situation, spontaneous lane formation also occurs. However, pedestrians can easily separate into three or four lanes. Moreover, the merge of lanes is observed, and clockwise/anti-clockwise pedestrians are not always in the inner/outer lane. The simulation results by an improved social force model considering the umbrella size are in agreement with the experimental ones.

[1]  Partha Chakroborty,et al.  Comparison of Pedestrian Fundamental Diagram across Cultures , 2009, Adv. Complex Syst..

[2]  Bin Jia,et al.  Uni- and bi-directional pedestrian flow in the view-limited condition: Experiments and modeling , 2016 .

[3]  Dr A. Alavi,et al.  Statistical Mechanics and its applications , 2007 .

[4]  R. J. Wheeler,et al.  PEDESTRIAN FLOW CHARACTERISTICS , 1969 .

[5]  Vicsek,et al.  Freezing by heating in a driven mesoscopic system , 1999, Physical review letters.

[6]  A. Seyfried,et al.  The fundamental diagram of pedestrian movement revisited , 2005, physics/0506170.

[7]  Jun Zhang,et al.  Comparison of intersecting pedestrian flows based on experiments , 2013, 1312.2475.

[8]  Jun Zhang,et al.  Transitions in pedestrian fundamental diagrams of straight corridors and T-junctions , 2011, 1102.4766.

[9]  M. Schreckenberg,et al.  Experimental study of pedestrian counterflow in a corridor , 2006, cond-mat/0609691.

[10]  Dirk Helbing,et al.  How simple rules determine pedestrian behavior and crowd disasters , 2011, Proceedings of the National Academy of Sciences.

[11]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

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

[13]  Dirk Helbing,et al.  Pedestrian, Crowd and Evacuation Dynamics , 2013, Encyclopedia of Complexity and Systems Science.

[14]  A. Schadschneider,et al.  Ordering in bidirectional pedestrian flows and its influence on the fundamental diagram , 2011, 1107.5246.

[15]  Gunnar Flötteröd,et al.  Bidirectional pedestrian fundamental diagram , 2015 .

[16]  Bing-Hong Wang,et al.  A social force evacuation model with the leadership effect , 2014 .

[17]  Isabella von Sivers,et al.  How Stride Adaptation in Pedestrian Models Improves Navigation , 2014, ArXiv.

[18]  Dinesh Manocha,et al.  Interactive simulation of local interactions in dense crowds using elliptical agents , 2017 .

[19]  Takashi Nagatani,et al.  Experiment and simulation for counterflow of people going on all fours , 2005 .

[20]  Dirk Helbing,et al.  Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

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

[22]  D. Helbing.  Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[23]  William H. K. Lam,et al.  Empirical Evidence for the Look-Ahead Behavior of Pedestrians in Bi-directional Flows , 2012 .

[24]  Hiroshi Murase,et al.  Parts Selective DPM for detection of pedestrians possessing an umbrella , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[25]  Daichi Yanagisawa,et al.  Anticipation effect in pedestrian dynamics: Modeling and experiments , 2012 .

[26]  J. Pettré,et al.  Properties of pedestrians walking in line: fundamental diagrams. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[27]  Daniel R. Parisi,et al.  A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions , 2009 .

[28]  Andreas Schadschneider,et al.  From ant trails to pedestrian dynamics , 2003 .

[29]  Cécile Appert-Rolland,et al.  Traffic Instabilities in Self-Organized Pedestrian Crowds , 2012, PLoS Comput. Biol..

[30]  Wei Wang,et al.  Large-scale pedestrian flow experiments under high-density conditions , 2017, 1710.10263.

[31]  Serge P. Hoogendoorn,et al.  Experimental Research of Pedestrian Walking Behavior , 2003 .

[32]  Serge P. Hoogendoorn,et al.  Pedestrian Behavior at Bottlenecks , 2005, Transp. Sci..

[33]  Siuming Lo,et al.  Pedestrian ascent and descent fundamental diagram on stairway , 2017 .

[34]  Andreas Schadschneider,et al.  Quantitative analysis of pedestrian counterflow in a cellular automaton model. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[35]  Armin Seyfried,et al.  Fundamental diagrams for multidirectional pedestrian flows , 2017 .

[36]  Daichi Yanagisawa,et al.  Improvement of pedestrian flow by slow rhythm. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[37]  Angel Garcimartín,et al.  The Conference in Pedestrian and Evacuation Dynamics 2014 ( PED 2014 ) Experimental evidence of the “ Faster Is Slower ” effect , 2014 .