Simulationmodel of self-organizing pedestrianmovement considering following behavior

Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN

PDF(1440 KB)
PDF(1440 KB)
Front. Inform. Technol. Electron. Eng ›› 2017, Vol. 18 ›› Issue (8) : 1142-1150. DOI: 10.1631/FITEE.1601592
Article
Article

Simulationmodel of self-organizing pedestrianmovement considering following behavior

Author information +
History +

Abstract

A new force is introduced in the social force model (SFM) for computing following behavior in pedestrian counterflow, whereby an individual tries to approach others in the same direction to avoid conflicts with pedestrians from the opposite direction. The force, like a kind of gravitation, is modeled based on the movement state and visual field of the pedestrian, and is added to the classical SFM. The modified model is presented to study the impact of following behavior on the process of lane formation, the conflict, the number of lanes formed, and the traffic efficiency in the simulations. Simulation results show that the following behavior has a significant effect on the phenomenon of lane formation and the traffic efficiency.

Keywords

Gravitation / Pedestrian counterflow / Social force model (SFM) / Lane formation / Self-organizing

Cite this article

Download citation ▾
Zhilu YUAN, Hongfei JIA, Mingjun LIAO, Linfeng ZHANG, Yixiong FENG, Guangdong TIAN. Simulationmodel of self-organizing pedestrianmovement considering following behavior. Front. Inform. Technol. Electron. Eng, 2017, 18(8): 1142‒1150 https://doi.org/10.1631/FITEE.1601592

References

[1]
Chen,M.J., Bärwolff, G., Schwandt,H. , 2009. A derived grid-based model for simulation of pedestrian flow. J. Zhejiang Univ.-Sci. A, 10(2):209–220. https://doi.org/10.1631/jzus.A0820049
[2]
Fujiyama,T., Tyler,N., 2009. Bidirectional collisionavoidance behaviour of pedestrians on stairs. Environ. Plan. B, 36(1):128–148. https://doi.org/10.1068/b33123
[3]
Guo,R.Y., 2014. Simulation of spatial and temporal separation of pedestrian counter flow through a bottleneck. Phys. A, 415:428–439. https://doi.org/10.1016/j.physa.2014.08.036
[4]
Helbing,D., 1996. A stochastic behavioral model and a‘microscopic’ foundation of evolutionary game theory. Theory Dec., 40(2):149–179. https://doi.org/10.1007/BF00133171
[5]
Helbing,D., 2001. Traffic and related self-driven manyparticle systems. Rev. Mod. Phys., 73(4):1067. https://doi.org/10.1103/RevModPhys.73.1067
[6]
Helbing,D., Moln�r, P., 1995. Social force model for pedestrian dynamics. Phys. Rev. E, 51(5):4282. https://doi.org/10.1103/PhysRevE.51.4282
[7]
Helbing,D., Farkas, I., Vicsek,T. , 2000. Simulating dynamical features of escape panic. Nature, 407(6803):487–490. https://doi.org/10.1038/35035023
[8]
Helbing,D., Farkas, I.J., Molnár,P. , , 2002. Simulation of pedestrian crowds in normal and evacuation situations. Proc. 1st Int. Conf. on Pedestrian and Evacuation Dynamics, p.21–58.
[9]
Helbing,D., Buzna,L., Johansson,A. , , 2005. Selforganized pedestrian crowd dynamics: experiments, simulations, and design solutions. Transp. Sci., 39(1):1–24. https://doi.org/10.1287/trsc.1040.0108
[10]
Heliövaara,S., Korhonen, T., Hostikka,S. , , 2012. Counterflow model for agent-based simulation of crowd dynamics. Build. Environ., 48:89–100. https://doi.org/10.1016/j.buildenv.2011.08.020
[11]
Iryo-Asano,M., Alhajyaseen, W.K.M., Nakamura,H. , 2015. Analysis and modeling of pedestrian crossing behavior during the pedestrian flashing green interval. IEEE Trans. Intell. Transp. Syst., 16(2):958–969.https://doi.org/10.1109/TITS.2014.2346154
[12]
Jia,H.F., Li,Y.X., Yang,L.L., , 2016. Modeling the separating pedestrian flow in T-shaped passage based on guide sign. Discr. Dynam. Nat. Soc., 2016:5625286. https://doi.org/10.1155/2016/5625286
[13]
Kuang,H., Li,X.L., Wei,Y.F., , 2010. Effect of following strength on pedestrian counter flow. Chin. Phys. B, 19(7):070517. https://doi.org/10.1088/1674-1056/19/7/070517
[14]
Lakoba,T.I., Kaup,D.J., Finkelstein,N.M. , 2005. Modifications of the Helbing-Molnár-Farkas-Vicsek social force model for pedestrian evolution. Simulation, 81(5):339–352. https://doi.org/10.1177/0037549705052772
[15]
Lam,W.H.K., Lee,J.Y.S., Cheung,C.Y. , 2002. A study of the bi-directional pedestrian flow characteristics at Hong Kong signalized crosswalk facilities. Transportation, 29(2):169–192. https://doi.org/10.1023/A:1014226416702
[16]
Li,J., Yang,L., Zhao,D., 2005. Simulation of bi-direction pedestrian movement in corridor. Phys. A, 354:619–628. https://doi.org/10.1016/j.physa.2005.03.007
[17]
Li,J., Wang,J., Dong,Y., , 2015. Streamline simulation and analysis of pedestrian weaving flow in large passenger terminal. Math. Probl. Eng., 2015:645989. https://doi.org/10.1155/2015/645989
[18]
Li,Y.X., Jia,H.F., Zhou,Y.N., , 2017. Simulation research on pedestrian counter flow subconscious behavior. Int. J. Mod. Phys. C, 28(2):1750025. https://doi.org/10.1142/S0129183117500255
[19]
Liao,M.J., Liu,G., 2015. Modeling passenger behavior in nonpayment areas at rail transit stations. Transp. Res. Rec. J. Transp. Res. Board, 2534:101–108. https://doi.org/10.3141/2534-13
[20]
Löhner,R., 2010. On the modeling of pedestrian motion. Appl. Math. Model., 34(2):366–382. https://doi.org/10.1016/j.apm.2009.04.017
[21]
Ma,J., Song,W.G., Zhang,J., , 2010. k-nearestneighbor interaction induced self-organized pedestrian counter flow. Phys. A, 389(10):2101–2117. https://doi.org/10.1016/j.physa.2010.01.014
[22]
Older,S.J., 1968. Movement of pedestrians on footways in shopping streets. Traff. Eng. Contr., 10(4):160–163.
[23]
Pelechano,N., Allbeck, J.M., Badler,N.I. , 2007. Controlling individual agents in high-density crowd simulation. Proc. ACM SIGGRAPH/Eurographics Symp. on Computer Animation, p.99–108. https://doi.org/10.2312/SCA/SCA07/099-108
[24]
Saloma,C., Perez,G.J., Tapang,G., , 2003. Selforganized queuing and scale-free behavior in real escape panic. PNAS, 100(21):11947–11952. https://doi.org/10.1073/pnas.2031912100
[25]
Seyfried,A., Steffen, B., Klingsch,W. , , 2005. The fundamental diagram of pedestrian movement revisited. J. Stat. Mech. Theory Exp., 2005(10):P10002. https://doi.org/10.1088/1742-5468/2005/10/P10002
[26]
Smith,A., James,C., Jones,R., , 2009. Modelling contra-flow in crowd dynamics DEM simulation. Safety Sci., 47(3):395–404.https://doi.org/10.1016/j.ssci.2008.05.006
[27]
Tajima,Y., Takimoto, K., Nagatani,T. , 2002. Pattern formation and jamming transition in pedestrian counter flow. Phys. A, 313(3):709–723. https://doi.org/10.1016/S0378-4371(02)00965-2
[28]
Tang,T.Q., Shao,Y.X., Chen,L., 2017. Modeling pedestrian movement at the hall of high-speed railway station during the check-in process. Phys. A, 467:157–166. https://doi.org/10.1016/j.physa.2016.10.008
[29]
Wang,Z., Ma,J., Zhao,H., , 2012. Effect of prediction on the self-organization of pedestrian counter flow. J. Phys. A, 45(30):305004. https://doi.org/10.1088/1751-8113/45/30/305004
[30]
Weidmann,U., 1993. Transporttechnik der Fussgänger: Transporttechnische Eigenschaften des Fussgängerverkehrs (Literaturauswertung). ETH Zürich (in German). https://doi.org/10.3929/ethz-a-000687810
[31]
Weng,W.G., Chen,T., Yuan,H.Y., , 2006. Cellular automaton simulation of pedestrian counter flow with different walk velocities. Phys. Rev. E, 74(3):036102. https://doi.org/10.1103/PhysRevE.74.036102
[32]
Werner,T., Helbing, D., 2003. The social force pedestrian model applied to real life scenarios. Proc. 2nd Int. Conf. on Pedestrian and Evacuation Dynamics, p.17–26.
[33]
Yang,L., Li,J., Liu,S., 2008. Simulation of pedestrian counter-flow with right-moving preference. Phys. A, 387(13):3281–3289. https://doi.org/10.1016/j.physa.2008.01.107
[34]
Yue,H., Guan,H., Zhang,J., , 2010. Study on bidirection pedestrian flow using cellular automata simulation. Phys. A, 389(3):527–539. https://doi.org/10.1016/j.physa.2009.09.035
[35]
Zhang,J., Wang,H., Li,P., 2004. Cellular automata modeling of pedestrian’s crossing dynamics. J. Zhejiang Univ.-Sci., 5(7):835–840. https://doi.org/10.1631/jzus.2004.0835

RIGHTS & PERMISSIONS

2017 Zhejiang University and Springer-Verlag GmbH Germany
PDF(1440 KB)

Accesses

Citations

Detail

Sections
Recommended

/