Abstract
With the increasing of traffic complexity, traffic simulation becomes an important approach to deal with the complicated traffic problems; meanwhile, system modeling plays a more and more important role in the simulation systems. Cellular automata provide a simple discrete deterministic mathematical model for physical, biological, and computational systems and are shown to be capable of complicated behavior and generate complex and random patterns, which are very suitable for the description of complicate traffic environment [7]. A simulation model based on agent technology, HLA/RTI technology and expanded cellular automaton is presented in this paper. The simulation model makes the platform expandable and flexible, at the same time, it can provide high-capable computing resources to solve the complex traffic issues. In the traffic entity model aspects, the expanded cellular automata and agent technology were adopted to model the behaviors of passengers, vehicles, traffic signal lights and so on. The optimal scheme for evacuation of traffic disaster, superintendence of large scale activities and design of traffic environment will be obtained through the simulation model.
Chapter PDF
Similar content being viewed by others
References
IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA)-Frame and Rules [S], IEEE Std 1516-2000, September 2000 (2000)
Pan, X., Han, C.S., Law, K.H.: A Multi-agent based Simulation Framework for the Study of Human and Social Behavior in Egress Analysis (2006), http://eil.stanford.edu/egress/publications/ASCE_2005_Pan_Han_Law.pdf
Jade - Java Agent Development Framework (2006), http://jade.tilab.com/
WSRF-The WS-Resource Framework (2006), http://www.globus.org/wsrf/
Globus Toolkit 4.0 (2006), http://www.globus.org/
Bing, S.H., li, C.Y.: An Overview of Computer Simulation Research on Traffic Systems. Computer Simulation 21(3), 101–104 (2004)
Mamei, M., Roli, A., Zambonelli, F.: Emergence and Control of Macro-Spatial Structures in Perturbed Cellular Automata, and Implications for Pervasive Computing Systems. IEEE Transactions on Systems, Man, and Cybernetics 35(3), 337–348 (2005)
Bauer, B., Müller, J.P., Odell, J.: Agent UML: A Formalism for Specifying Multi-agent Software Systems. International Journal of Software Engineering and Knowledge Engineering 11(3), 1–24 (2001)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)
Kirchner, A., Schadschneider, A.: Simulation of evacuation process using a bionics-inspired cellular automaton model for pedestrian dynamics. Physica A 312, 260–276 (2002)
Kirchner, A., Nishinari, K., Schadschneider, A.: Friction effects and clogging in a cellular automaton model for pedestrian dynamics. Physical Review E 67, 56–112 (2003)
weiguo, S., yanfei, Y., Tao, C.: Influences of Exit Conditions on Pedestrian Evacuation. Fire Safety Science 12(2), 100–104 (2003)
weiguo, S., yanfei, Y., weicheng, F., heping, Z.: An evacuation model based on cellular automaton which pays attention to friction and repulsion. Science in China Ser. E Engineering & Materials Science 35(7), 725–736 (2005)
weiguo, S., yanfei, Y., heping, Z.: Evacuation Analysis of a Large Shopping Mall. Engineering Science 7(10), 78–83 (2005)
weifeng, F., lizhong, Y., rui, H.: A Multi2agent Model Based on Cellular Automata for Simulating Human Behavior to Assess Building Design Performance. Engineering Science 5(3), 67–71 (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, J., Huang, L., Cao, J., Li, M., Wang, D., Wang, M. (2007). Research on Modeling of Complicate Traffic Simulation System. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_116
Download citation
DOI: https://doi.org/10.1007/978-3-540-73321-8_116
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73318-8
Online ISBN: 978-3-540-73321-8
eBook Packages: Computer ScienceComputer Science (R0)