An agent-based approach to modelling pedestrian behaviour

International Journal of Simulation: Systems, Science and Technology

Volumn 8, Issue 1, 2007, Pages 25-38

  Ronald, Nicole ^a   Sterling, Leon ^a   Kirley, Michael ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Agent based simulation; BDI architecture; Transport modelling

Indexed keywords

ARCHITECTURE;

AGENT BASED SIMULATION; AGENT-ORIENTED PROGRAMMING LANGUAGES; AGENT-ORIENTED SIMULATION; BDI ARCHITECTURE; CLASSIFICATION FRAMEWORK; DECISION MAKING PROCESS; PERSONAL CHARACTERISTICS; TRANSPORT MODELLING;

DECISION MAKING;

EID: 84924578213     PISSN: 14738031     EISSN: 1473804X     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. Agent Oriented Software [2005], “Agent Oriented Software (AOS) - JACK Intelligent Agents, software agent system.”, http://www.agentoriented.com/shared/home/index.html. Accessed 4 April 2005.
2. Australian Pedestrian Council [2004], “The Pedestrian Council: Pedestrian Council Home”, http://www.walk.com.au. Accessed 9 December 2003.
3. Batty, M. [2001], “Editorial”, Environment and Planning B: Planning and Design28, 321–326.
4. Bergenti, F., Gleizes, M.-P. and Zambonelli, F. [2004], Methodologies and Software Engineering for Agent Systems, Springer.
5. Bratman, M. [1987], Intentions, Plans and Practical Reason, Harvard University Press.
6. Burstedde, C., Kirchner, A., Klauck, K., Schadschneider, A. and Zittartz, J. [2001], Cellular automaton approach to pedestrian dynamics - applications, in M. Schreckenberg and S. Sharma, eds, “Pedestrian and Evacuation Dynamics”, Springer-Verlag, Berlin.
7. Busetta, P., Rönnquist, R., Hodgson, A. and Lucas, A. [1999], Light-Weight Intelligent Software Agents in Simulation, Technical Report 3, Agent Oriented Software.
8. Drougoul, A., Vanbergue, D. and Meurisse, T. [2003], Multi-agent based simulation: Where are the agents?, in J. S. Sichman, F. Bousquet and P. Davidsson, eds, “Multi-Agent Based Simulation II”, Vol. 2581 of Lecture Notes in Computer Science, Springer- Verlag. Gifford, R. [2002], Environmental Psychology: Principles and Practice, Optimal Books, Canada.
9. Gloor, C., Stucki, P. and Nagel, K. [2004], Hybrid techniques for pedestrian simulation, in P. Sloot, B. Chopard and A. Hoekstra, eds, “Cellular Automata: 6th International Conference on Cellular Automata for Research and Industry, ACRI 2004”, Vol. 3305 of Lecture Notes in Computer Science, Springer-Verlag, pp. 581–590.
10. Golledge, R. G. and Gärling, T. [2004], Cognitive maps and urban travel, in D. Hensher, K. Button, K. Haynes and P. Stopher, eds, “Handbook of Transport Geography and Spatial Systems”, Elsevier.
11. Harney, D. [2002], “Pedestrian modelling: current methods and future directions”, Road & Transport Research 11(4), 2–12.
12. Helbing, D., Molnár, P., Farkas, I. J. and Bolay, K. [2001], “Self organizing pedestrian movement”, Environment and Planning B: Planning and Design 28, 361–383.
13. Henein, C. M. and White, T. [2004], Agent-based modelling of forces in crowds, in P. Davidsson, L. Gasser, B. Logan and K. Takadama, eds, “Multi-Agent andMulti-Agent-Based Simulation”, Vol. 3415 of Lecture Notes in Computer Science, Springer-Verlag, pp. 173–184.
14. Hoogendoorn, S. and Bovy, P. H. L. [2004], “Pedestrian route-choice and activity scheduling theory and models”, Transportation Research B 38, 169–190.
15. Intelligent Space [2005], “Intelligent Space Partnership”, http://www.intelligentspace.com. Accessed 1 August 2005.
16. Legion [2004], “Legion pedestrian simulation software for public environments”, http://www.legion.biz. Accessed 23 January 2004.
17. Nagel, K. and Schreckenberg, M. [1992], “A cellular automaton model for freeway traffic”, Journal de Physique I 2(12), 2221–2230.
18. Narimatsu, K., Shiraishi, T. and Morishita, S. [2004], Acquisition of local neighbor rules in the simulation of pedestrian flow by cellular automata, in P. Sloot, B. Chopard and A. Hoekstra, eds, “Cellular Automata: 6th International Conference on CellularAutomata for Research and Industry, ACRI 2004”, Vol. 3305 of Lecture Notes in Computer Science, Springer-Verlag, pp. 211–219.
19. Norling, E. [2004], Folk psychology for human modelling: Extending the bdi paradigm, in “Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems”, ACM.
20. Ogden, K. W. and Taylor, S. Y. [1996], Traffic engineering and management, Dept. of Civil Engineering, Monash University, Clayton, Australia.
21. Ortúzar, J. D. D. and Willumsen, L. [1994], Modelling Transport, John Wiley & Sons, Chichester, NY.
22. Padgham, L. and Winikoff, M. [2004], Developing Intelligent Agent Systems - A Practical Guide, John Wiley and Sons, Parunak, H. V. D., Savit, R. and Riolo, R. L. [1998], Agent-based modeling vs. equation- based modeling: A case study and users’ guide, in J. S. Sichman, R. Conte and N. Gilbert, eds, “Multi-Agent Systems and Agent-Based Simulation”, Vol. 1534 of Lecture Notes in Computer Science, Springer- Verlag, pp. 10–25.
23. Rao, A. S. and Georgeff, M. P. [1995], BDI Agents: From Theory To Practice, Technical Report 56, AAII.
24. Ronald, N. [2004], The role of pedestrian modelling in planning for special events, in “Proceedings of the 27th Australasian Transport Research Forum”. Rumbaugh, J., Jacobson, I. and Booch, G. [2004], The unified modeling language reference manual, Addison-Wesley, Boston, MA. SpaceSyntax [2004], “SpaceSyntax Home Page”, http://www.spacesyntax.com. Accessed 23 January 2004.
25. Still, K. [2000], Crowd dynamics, PhD thesis, University of Warwick, Department of Mathematics. Accessed 20 January 2004 from http://www.crowddynamics.com/Thesis/Contents.htm.
26. Weston, L. and Handy, S. [2004], Mental maps, in D. Hensher, K. Button, K. Haynes and P. Stopher, eds, “Handbook of Transport Geography and Spatial Systems”, Elsevier.
27. Wooldridge, M. [2000], Intelligent agents, in G. Weiss, ed., “Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence”, MIT Press.