Abstract
An agent based evacuation model with car-following parameters for micro traffic by means of cellular automata is proposed. The model features smart drivers who have a concern the distance between the driver and the surrounding cars. Such drivers are called agents. Agents lead the other cars not only in an ordinary case but also in the case of evacuations. We put the smart drivers and the agent drivers into the car-following parameters of traffic model. We applied it in the case of evacuation. Experimental simulation results show the effectiveness of reducing the evacuation time by the agents. It also is found the effectiveness increases in accordance with increasing of the number of agents.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. Journal Physics I, France 2, 2221–2229 (1992)
Nagel, K.: Particle hopping models and traffic flow theory. Phys. Rev. E 53, 4655–4672 (1996)
Sugiman, T., Misumi, J.: Development of a new evacuation method for emergencies: Control of collective behavior by emergent small groups. J. Appl. Psychol. 73, 3–10 (1988)
Stern, E., Sinuany-Stern, Z.: A behavioral-based simulation model for urban evacuation. Pap. Reg. Sci. Assoc. 66, 87–103 (1989)
Sheffi, Y., Mahmassani, H., Powell, W.: A transportation network evacuation model. Transport Res. A-Pol. 16, 209–218 (1982)
Hobeika, A.G., Jamei, B.: MASSVAC: A model for calculating evacuation times under natural disaster. Emerg. Plann, Simulation Series 15, 23–28 (1985)
Cova, T.J., Church, R.L.: Modeling community evacuation vulnerability using GIS. International Journal Geographic Information Science 11, 763–784 (1997)
Deadman, P.J.: Modeling individual behavior and group performance in an intelligent agent-based simulation of the tragedy of the commons. J. Environ. Manage. 56, 159–172 (1999)
Teodorovic, D.A.: Transport modeling by multi-agent systems: A swarm intelligence approach. Transport Plan. Techn. 26, 289–312 (2003)
Church, R.L., Sexton, R.M.: Modeling small area evacuation: Can existing transportation infrastructure impede public safety? Caltrans Testbed Center for Interoperability Task Order 3021Report, Vehicle Intelligence & Transportation Analysis Laboratory, University of California, Santa Barbara
Cova, T.J., Johnson, J.P.: Micro simulation of neighborhood evacuations in the urban-wild land interface. Environ. Plann. A 34, 2211–2229 (2002)
Chen, X., Zhan, F.B.: Agent-based modeling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies. Journal of the Operational Research Society 59, 25–33 (2008)
Maerivoet, S., De Moor, B.: Cellular automata models of road traffic. Physics Reports 419, 1–64 (2005)
Bando, M., Hasebe, K., Nakayama, A., Shibata, A., Sugiyama, Y.: Dynamical model of traffic congestion and numerical simulation. Phys. Rev. E 51, 1035–1042 (1995)
Helbing, D., Tilch, B.: Generalized force model of traffic dynamics. Phys. Rev. E 58, 133–138 (1998)
Jiang, R., Wu, Q.S., Zhu, Z.J.: Full velocity difference model for a car-following theory. Phys. Rev. E 64, 017101-1–017101-4 (2001)
Ge, X.H., Cheng, R.J., Li, Z.P.: Two velocity difference model for a car following theory. Physica A 387, 5239–5245 (2008)
Immers, L.H., Logghe, S.: Traffic Flow Theory, Faculty of Engineering, Department of Civil Engineering, Section Traffic and Infrastructure. In: Kasteelpark Arenberg, B-3001 Heverlee, Belgium, vol. 40 (2002)
Kretz, T., Mosbach: Pedestrian Traffic, Simulation and Experiment, Doctor Dissertation, Vom Fachbereich Physik der Duisburg-Essen University (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Arai, K., Harsono, T. (2010). Agent Based Evacuation Model with Car-Following Parameters by Means of Cellular Automata. In: Taniar, D., Gervasi, O., Murgante, B., Pardede, E., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2010. ICCSA 2010. Lecture Notes in Computer Science, vol 6017. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12165-4_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-12165-4_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12164-7
Online ISBN: 978-3-642-12165-4
eBook Packages: Computer ScienceComputer Science (R0)