http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-14c372e8-d233-4e48-889c-522949c4395e
| Czasopismo |
Journal of Artificial Intelligence and Soft Computing Research |
|||||||||||||
| Tytuł artykułu |
An adaptative system for signposted intersection control : ASSINC |
|||||||||||||
| Autorzy | Elkosantini, S. Mnif, F. Chabchoub, H. | |||||||||||||
| Treść / Zawartość | ||||||||||||||
| Warianty tytułu |
|
|||||||||||||
| Języki publikacji | EN | |||||||||||||
| Abstrakty |
|
|||||||||||||
| Słowa kluczowe |
|
|||||||||||||
| Wydawca |
University of Social Sciences. Information Technology Institute |
|||||||||||||
| Czasopismo | Journal of Artificial Intelligence and Soft Computing Research | |||||||||||||
| Rocznik | 2012 | |||||||||||||
| Tom | Vol. 2, No. 1 | |||||||||||||
| Strony | 21--29 | |||||||||||||
| Opis fizyczny | Bibliogr. 24 poz., rys. | |||||||||||||
| Twórcy |
|
|||||||||||||
| Bibliografia |
[1] E. C. P. Chang, J. C. K. Lei, and C. J. Messer, “Arterial signal timing optimization using passer-ii,” Texas Transportation Institute, Tech. Rep., 1988.
[2] C.Wallace, K. Courage, and M. Hadi, “Transyt-7f, transyt-7f user’s manual,” Transportation Research Center, University of Florida, Tech. Rep., 1988. [3] P. Negi, “Artificial immune system based urbain trafic control.” Texas A&M University, Tech. Rep., 2006. [4] N. Messai, P. Thomas, D. Lefebvre, and A. El Moudni, “Neural networks for local monitoring of traffic magnetic sensors. , ),0.” Control Engineering Practice, vol. 13 (1, pp. 67–80, 2004. [5] G. Balan and S. Luke, “History-based traffic control,” in AAMAS ’06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems. New York, NY, USA: ACM, 2006, pp. 616–621. [6] F. Balbo and S. Pinson, “Using intelligent agents for transportation regulation support system design,” Transportation Research Part C: Emerging Technologies, July 2009. [7] S. Haciane and N. Bhouri, “Regulation du trafic urbain avec une priorite aux transports en commun a laide dun systeme multi-agents,” in MOSIM10, 2010. [8] I. Kosonen, “Multi-agent fuzzy signal control based on real-time simulation,” Transportation Research Part C, vol. 11, pp. 389–403, 2003. [9] A. L. C. Bazzan, D. de Oliveira, and B. C. da Silva, “Learning in groups of traffic signals,” Eng. Appl. Artif. Intell., vol. 23, no. 4, pp. 560–568, 2010. [10] B. Fayech, “”rgulation des rseaux de transport multimodal : systmes multi-agent et algorithms volutionnistes,” Ph.D. dissertation, universit des sciences et technologies de Lille, France, 2003. [11] C. Quek, M. Pasquier, and B. Lim, “A novel selforganizing fuzzy rule-based system for modelling traffic flow behaviour,” Expert Syst. Appl., vol. 36, no. 10, pp. 12 167–12 178, 2009. [12] D. Srinivasan, R. Cheu, Y. Poh, and A. C. Ng, “Development of an intelligent technique for traffic network incident detection,” Engineering Applications of Artificial Intelligence, vol. 13(3), pp. 311–322, 2000. [13] Y. Hawas, “A fuzzy-based system for incident detection in urban street networks,” Transportation Research Part C, vol. 15, pp. 69–95, 2007. [14] C. Tolba, D. Lefebvre, P. Thomas, and A. El-Moudni, “Commande des feux de signalisation par rseaux de petri hybrides,” JESA, vol. 42(5), pp. 579–612, 2008. [15] M. Dotolia and M. P. Fanti, “An urban traffic network model via coloured timed petri nets,” Control Engineering Practice,, vol. 14(10), pp. 1213–1229, 2006. [16] A. Di Febbraro, D. Giglio, and N. Sacco, “Urban traffic control structure based on hybrid petri nets,” IEEE Transactions on Intelligent Transportation Systems, vol. 5(4), pp. 224–237, 2004. [17] M. Shenoda and Y. Machemehl, “Development of a phase-by-phase, arrival-based, delay-optimized metaheuristic search,” Government Accession No.4., Tech. Rep., 2006. [18] A. Turky, S. S.A., and M. Z. M. Y., “The use of genetic algorithm for traffic light and pedestrian crossing control,” International Journal of Computer Science and Network 88 Security, vol. 9 (2), pp. 88–96, 2009. [19] H. Ceylan and M. G. H. Bell, “Traffic signal timing optimisation based on genetic algorithm approach, including drivers? routing,” Transportation Research Part B-methodological, vol. 38, pp. 329–342, 2004. [20] S. Elkosantini, S. Mnif, and H. Chabchoub, “A system for the traffic control in signposted junctions,” in SSCI 2011 - IEEE Symposium Series on Computational Intelligence, Paris France, 2011. [21] S. Elkosantini, S. Mnif, and H. Chabchou, “An urban traffic controller for signposted road-rail intersections,”in 4th IEEE International Conference on Logistics- LOGISTIQUA?11, Hammamet Tunisia,2011. [22] S.-W. Chen, C.-B. Yang, and Y.-H. Peng, “Algorithms for the traffic light setting problem on the graph model,” in Proc. of the 12th Conference on Artificial Intelligence and Applications, Yunlin, Taiwan, 2007. [23] L. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, pp. 338–353, 1965. [24] G. Bortolan and R. Degan, Readings in Fuzzy Sets for Intelligent Systems, 1993, ch. A review of some methods for ranking fuzzy subsets, pp. 149–158. |
|||||||||||||
| Kolekcja | BazTech | |||||||||||||
| Identyfikator YADDA | bwmeta1.element.baztech-14c372e8-d233-4e48-889c-522949c4395e | |||||||||||||
| Identyfikatory |
|
|||||||||||||
