Information Technology Reference
In-Depth Information
References
1. Baqueiro, O., Wang, Y.J., McBurney, P., Coenen, F.: Integrating data mining
and agent based modeling and simulation. In: Perner, P. (ed.) ICDM 2009. LNCS,
vol. 5633, pp. 220-231. Springer, Heidelberg (2009)
2. Bazzan, A.L.C.: Opportunities for multiagent systems and multiagent reinforce-
ment learning in trac control. Autonomous Agents and Multi-Agent Systems 18,
342-375 (2009)
3. Bazzan, A.L.C., de Oliveira, D., Klugl, F., Nagel, K.: To adapt or not to adapt -
consequences of adapting driver and trac light agents. In: Tuyls, K., Nowe, A.,
Guessoum, Z., Kudenko, D. (eds.) ALAMAS 2005, ALAMAS 2006, and ALAMAS
2007. LNCS (LNAI), vol. 4865, pp. 1-14. Springer, Heidelberg (2008)
4. Bull, L., Sha'Aban, J., Tomlinson, A., Addison, J., Heydecker, B.: Towards dis-
tributed adaptive control for road trac junction signals using learning classifier
systems, pp. 279-299. Springer, New York (2004)
5. Dallmeyer, J., Lattner, A.D., Timm, I.J.: From GIS to Mixed Trac Simulation
in Urban Scenarios. In: Proceedings of the 4th International ICST Conference on
Simulation Tools and Techniques (SIMUTools 2011) (2011)
6. Fiosins, M., Fiosina, J., Muller, J.P.: Change point analysis for intelligent agents in
city trac. In: The Seventh International Workshop on Agents and Data Mining
Interaction (ADMI 2011) at the 10th International Conference on Autonomous
Agents and Multiagent Systems (AAMAS 2011), Springer, Heidelberg (2011)
7. Gehrke, J.D., Wojtusiak, J.: Trac prediction for agent route planning. In: Pro-
ceedings of the 8th International Conference on ComputationalScience, Part III,
ICCS 2008, pp. 692-701. Springer, Heidelberg (2008)
8. Hafstein, S.F., Pottmeier, A., Wahle, J., Schreckenberg, M.: Cellular automaton
modeling of the autobahn trac in north rhine-westphalia. In: Troch, I., Breite-
necker, F. (eds.) Proc. of the 4th MATHMOD, pp. 1322-1331 (2003)
9. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The
WEKA data mining software: An update. SIGKDD Explorations 11(1), 10-18
(2009)
10. Helbing, D.: Empirical trac data and their implications for trac modeling.
Phys. Rev. E 55(1), R25-R28 (1997)
11. Kerner, B.S.: Introduction to Modern Trac Flow Theory and Control: The Long
Road to Three-Phase Trac Theory. Springer, Heidelberg (2009)
12. Moussa, N.: Car accidents in cellular automata models for one-lane trac flow.
Phys. Rev. E 68(3), 36127 (2003)
13. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway trac.
Journal de Physique I 2(12), 2221-2229 (1992)
14. Nagel, K., Wolf, D.E., Wagner, P., Simon, P.: Two-lane trac rules for cellular
automata: A systematic approach. Physical Review E 58(2), 1425-1437 (1998)
15. Quinlan, J.R.: C4.5 - Programs for Machine Learning. Morgan Kaufmann Pub-
lishers, Inc., San Francisco (1993)
16. Stevanovic, A.: Adaptive Trac Control Systems: Domestic and Foreign State
of Practice (NCHRP Synthesis 403, Transportation Research Board). National
Academy of Sciences, Washington D.C (2010)
