Abstract
This study presents a simple Cellular Automata model which allows to estimate the combined effect of crowd control and information provision on pedestrian dynamics. We assume the case of a closed loop consisting of two lanes connected in only two points where pedestrians are allowed to move from the inner to the outer loop and in the opposite direction. Both lanes are virtually divided by a wall which does not allow to visually inspect the other side except on the locations connecting them. To investigate the effect of information provision we assume that a given number of pedestrians have information on the speed in both lanes. In addition, we assume that lane changing locations are guarded by security staff which can give orders to the crowd on which lane to choose. However, only a given number of pedestrians are compliant and will obey to the orders. Initial settings for the simulation have been set so that free flow in both lanes is obtained only when the number of lane changes is limited and density is equal in both inner and outer loops. Results show that crowd control strategy, compliance ratio and information provision have a clear impact on the overall group speed. The combined analysis of all variables showed that efficient information provision is the most reliable method to ensure an adequate speed (and flow) even when crowd control fails or when compliance is low.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Since inner and outer loop have different lengths, lane change location is not exactly uniformly distributed in the linear representation. On average there is a 6 cells difference between both lane change positions in both loops.
References
Blue, V., Adler, J.: Cellular automata microsimulation of bidirectional pedestrian flows. Transp. Res. Rec.: J. Transp. Res. Board 1678, 135–141 (1999). https://doi.org/10.3141/1678-17
Daamen, W.: SimPed: a pedestrian simulation tool for large pedestrian areas. In: Conference Proceedings EuroSIW, pp. 24–26 (2002)
Fukui, M., Ishibashi, Y.: Traffic flow in 1D cellular automaton model including cars moving with high speed. J. Phys. Soc. Jpn. 65(6), 1868–1870 (1996). https://doi.org/10.1143/JPSJ.65.1868
Hino, Y., Nagatani, T.: Effect of bottleneck on route choice in two-route traffic system with real-time information. Phys. A: Stat. Mech. Appl. 395, 425–433 (2014). https://doi.org/10.1016/j.physa.2013.10.044
Imai, T., Nishinari, K.: Optimal information provision for maximizing flow in a forked lattice. Phys. Rev. E 91(6), 062818 (2015). https://doi.org/10.1103/PhysRevE.91.062818
Jelić, A., Appert-Rolland, C., Lemercier, S., Pettré, J.: Properties of pedestrians walking in line: fundamental diagrams. Phys. Rev. E 85(3), 036111 (2012). https://doi.org/10.1103/PhysRevE.85.036111
Templeton, A., Drury, J., Philippides, A.: From mindless masses to small groups: conceptualizing collective behavior in crowd modeling. Rev. Gen. Psychol. 19(3), 215 (2015). https://doi.org/10.1037/gpr0000032
Wahle, J., Bazzan, A.L.C., Klügl, F., Schreckenberg, M.: The impact of real-time information in a two-route scenario using agent-based simulation. Transp. Res. Part C: Emerg. Technol. 10(5–6), 399–417 (2002). https://doi.org/10.1016/S0968-090X(02)00031-1
Wang, W.X., Wang, B.H., Zheng, W.C., Yin, C.Y., Zhou, T.: Advanced information feedback in intelligent traffic systems. Phys. Rev. E 72(6), 066702 (2005). https://doi.org/10.1016/S0968-090X(02)00031-1
Yokoya, Y.: Dynamics of traffic flow with real-time traffic information. Phys. Rev. E 69(1), 016121 (2004). https://doi.org/10.1103/PhysRevE.69.016121
Acknowledgments
This work was partially supported by JST-Mirai Program Grant Number JPMJMI17D4, Japan.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Feliciani, C., Shimura, K., Yanagisawa, D., Nishinari, K. (2018). Study on the Efficacy of Crowd Control and Information Provision Through a Simple Cellular Automata Model. In: Mauri, G., El Yacoubi, S., Dennunzio, A., Nishinari, K., Manzoni, L. (eds) Cellular Automata. ACRI 2018. Lecture Notes in Computer Science(), vol 11115. Springer, Cham. https://doi.org/10.1007/978-3-319-99813-8_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-99813-8_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-99812-1
Online ISBN: 978-3-319-99813-8
eBook Packages: Computer ScienceComputer Science (R0)