R. Allsop, and J. Charlesworth “Traffic in a signal controller network: an example of different signal timings inducing different routing,”. Traffic Eng. and Control, vol. 18, pp. 262–264, 1977.
A. L. C. Bazzan, “A game-theoretic approach to distributed control of traffic signals,”. in Proceedings of the First Int. Conf. on Multi–Agent Systems (ICMAS) San Francisco. extended abstract, 1995.
A. L. C. Bazzan, “Evolution of coordination as a metaphor for learning in multi–agent systems,” in G. Weiss (ed.), DAI Meets Machine Learning, no.1221 in LNAI. Springer–Verlag: Berlin Heidelberg, New York, pp. 117–136, 1997a.
A. L. C. Bazzan, “An evolutionary game–theoretic approach for coordination of traffic signal agents,” Ph.D. thesis, University of Karlsruhe, 1997b.
A. L. C. Bazzan, J. Wahle, and F. Klu¨ gl, “Agents in traffic modelling–from Reactive to Social Behaviour,” in Advances in Artificial Intelligence, Berlin/Heidelberg. Also appeared as Proc. of the U.K. Special Interest Group on Multi-Agent Systems (UKMAS), Bristol, UK, 1999.
F. Busch, and G. Kruse, “MOTION–Ein neues Verfahren fu¨ r die sta¨ dtische Lichtsignalsteurung und seine Erprobung in Rahmen des EG–Programms ATT,” in Heureka 93, pp. 79–93, 1993
S. Cammarata, D. McArthur, and R. Steeb, “Strategies of cooperation in distributed problem solving,” in Int. Joint Conf. on Artificial Intelligence. Karlsruhe, F. R. of Germany, 1983, pp. 767–770.
E. C. P., Chang, J. C. K. Lei, and C. J. Messer, “Arterial signal timing optimization using PASSER–II.” Technical Report 467, Texas Transportation Institute, 1988. BAZZAN 162
S. L. Cohen, and J. D. C. Little, “The MAXBAND program for arterial timing plans,” Public Roads, vol. 46, no.2, pp. 61–65, 1982.
J. Cuena, G. Ambrosino, and M. Boero, “A general knowledge–based architecture for traffic control: the KITS approach,” in Int. Conf. on Artificial Intelligence Applications in Transportation Engineering,. California, 1992.
M. Di Taranto, “UTOPIA, in Proceedings of the IFAC-IFIP-IFORS Conference on Control, Computers, Communication in Transportation. Paris, 1989.
S. Elhadouaj, A. Drogoul, and S. Espie’,“How to combine reactivity and anticipation: the case of conflicts resolution in a simulated road traffic,” in Proceedings of the Multiagent Based Simulation (MABS), 2000.
N. Findler, and J. Stapp, “Distributed approach to optimized control of street traffic signals,” Journal of Transportation Engineering, vol. 118, no.1, pp. 99–110, 1992.
K. Fischer, N. Kuhn, H. Mu¨ ller, J. Mu¨ ller, M. Pischel, and A. Schroth, “Verteiltes Problemlo¨ sen in Transportwesen,” Information Management, vol. 2, pp. 32–40, 1993.
K. Fischer, J. Mu¨ ller, M. Pischeland, and D. Schier, “A model for cooperative transportation scheduling,”in V. Lesser (ed.), Proceedings of the First International Conference on Multi–Agent Systems (ICMAS),1995, pp. 109–116.
B. Foraste, and G. Scemana, “Surveillance and congested traffic control in Paris by expert system,” in IEEE Int. Conf. on Road Traffic Control, London, pp. 91–94, 1986.
D. Fudenberg, and D. Levine, “Steady state learning and nash equilibrium,” Econometrica, vol. 61, pp. 547–573, 1993.
A. Garland, and R. Alterman, 2004, “Autonomous agents that learn to better coordinate,” Autonomous Agents and Multi-Agent Systems, vol. 8, no.3, 267–301, 2004.CrossRef
N. Gartner, “OPAC–A demand–responsive strategy for traffic signal control,” Transportation Research Record, vol. 906, pp. 75–81, 1983.
M. R., Genesereth, M. L. Ginsberg, and J. S. Rosenschein, “Cooperation without communication,” in Proceedings of the Fifth Nat. Conf. on Art. Intelligence, 1986.
J. Halpern, and Y. Moses, “Knowledge and common knowledge in a distributed environment,” in Third Annual ACM Symposium on Principles of Distributed Computing, Vancouver, 1984.
C. B. Harley, “Learning the evolutionary stable strategy,” Journal of Theoretical Biology, vol. 89, pp. 611–631, 1981.CrossRefPubMed
H. Haugeneder and D. Steiner, “MECCA/UTS: A multi-agent scenario for cooperation in urban traffic’. in Proceeedings of the Special Interest Group on Cooperating Knowledge Based Systems, 1993.
J. Henry, J. Farges, and J. Tuffal, “The PRODYN real time traffic algorithm,” in Proceedings of the Int. Fed. of Aut. Control (IFAC) Conf, Baden-Baden, 1983.
F. Klu¨ gl, and A. L. C. Bazzan, “Simulation of adaptive agents learning heuristics for route choice in a commuter scenario,” in Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), vol. 1. Bologna, Italy, extended abstract, pp. 217–218, 2002.CrossRef
F. Klu¨ gl, and A. L. C. Bazzan, 2004,“Route decision behaviour in a commuting scenario,”Journal of Artificial Societies an Social Simulation, vol. 7, no.1, http://jasss.soc.surrey.ac.uk/7/1/1.html.
F. Klu¨ gl, A. L. C. Bazzan, and J. Wahle, “Selection of information types based on personal utility-a testbed for traffic information markets,” in Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Melbourne, Australia, 2003, pp. 377–384.
W. Leutzbach, Introduction to the Theory of Traffic Flow. Springer, Berlin, 1988.
G. List, and J. Pond, “A strategy for real-time control demand-sensitive signal networks,” in Advanced Air Transportation Technologies (AATT) Conference, 1989.
M. W. Macy, and A. Flache, “Learning dynamics in social dilemmas,” in Proceedings of the National Academy of Sciences, Vol. 99, pp. 7229–7236, 2002.CrossRef
J. Maynard-Smith, and G. R. Price, “The logic of animal conflict,” Nature, vol. 246, pp. 15–18, 1973.CrossRefPubMed
J. Morgan, and J. Little, “Synchronizing traffic signals for maximal bandwidth,” Operations Research, vol. 12, pp. 897–912,1964.
S. Ossowski, Co-ordination in artifical agent societies, social structures and its implications for autonomous problem-solving agents., no.1535 in Lecture Notes in Artificial Intelligence, Berlin Heidelberg New York: Springer, 1999.
P. Paruchuri, A. R. Pullalarevu, and K. Karlapalem, “Multi agent simulation of unorganized traffic,” in Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Bologna, Italy, 2002, vol. 1. pp. 176–183.CrossRef
Robertson, “TRANSYT: A traffic network study tool,” Rep. LR 253, Road Res. Lab., London, 1969.
J. Rosenschein, and M. Genesereth, “Deals among rational agents,” in Proceedings Nineth Int. Joint Conf. on Art. Intelligence,. 1985, pp. 91–99.
R. Rossetti, R. Liu, D. Van Vliet, S. Bampi, and H. Cybis, “Applying an agent–based approach to traffic modeling,” in Workshop on Agents in Traffic and Transportation (at Autonomous Agents), Barcelona, 2000a.
R. Rossetti, R. Liu, D. Van Vliet, and H. Cybis, “An agent–based framework for the assessment of drivers’ decision–making,” IEEE Intelligent Transportation Systems, Dearborn (MI), USA, 2000b.
R. J. F. Rossetti, R. H. Bordini, A. L. C. Bazzan, S. Bampi, R. Liu, and D. Van Vliet, “Using BDI agents to improve driver modelling in a commuter scenario,” Transportation Research Part C: Emerging Technologies, vol. 10, 5–6, pp. 47–72, 2002.
A. E. Roth, and I. Erev, “Learning in extensive form games: experimental data and simple dynamic models in the intermediate term,” Games Econ. Behav, vol. 8, pp. 164–212,1995.CrossRef
A. Schaerf, Y. Shoham, and M. Tennenholtz, “Adaptive balancing load: A study in multi-agent learning,” Journal of Artificial Intelligence Research, vol. 2, pp. 475–500,1995.
H. Strobel, Computer Controlled Urban Transportation. A Survey of Concepts, Methods and International Experiences, vol. 10 of IIASA Int. Series, John Wiley and Sons, 1982.
TRANSYT-7F, “TRANSYT-7F user’s manual,” Transportation Research Center, University of Florida, 1988.
F. Vanderborght, “PRODYN in Brussels,” in Traffic Technology International, Surrey, UK: International Press, 1995.
J. Wahle, A. L. C. Bazzan, F. Klu¨ gl, and M. Schreckenberg, “The impact of real time information in a two route scenario using agent based simulation,” Transportation Research Part C: Emerging Technologies, vol. 10, 5–6, pp. 73–91, 2002.
B. Wild, “SAPPORO–Toward an intelligent traffic management system,” in Int. Conf. on Artificial Intelligence Applications in Transportation Engineering, California, 1992.
C. Zozaya-Goristiza, and C. Hendrickson, “Expert systems for traffic signal setting assistance,” Journal of Transport. Engineering, vol. 2, pp. 113, 1987.