References
- Almejalli, K.; Dahal, K.; Hossain, M. A. 2007. Intelligent traffic control decision support system, Lecture Notes in Computer Science 4448: 688–701. http://doi.org/10.1007/978-3-540-71805-5_75
- Balaji, P. G.; German, X.; Srinivasan, D. 2010. Urban traffic signal control using reinforcement learning agents, IET Intelligent Transport Systems 4(3): 177–188. http://doi.org/10.1049/iet-its.2009.0096
- Baras, J. S.; Levine, W. S.; Lin, T. 1979. Discrete-time point processes in urban traffic queue estimation, IEEE Transactions on Automatic Control 24(1): 12–27. http://doi.org/10.1109/TAC.1979.1101944
- Bazzan, A. L. C.; De Oliveira, D.; Da Silva, B. C. 2010. Learning in groups of traffic signals, Engineering Applications of Artificial Intelligence 23(4): 560–568. http://doi.org/10.1016/j.engappai.2009.11.009
- Christofa, E.; Papamichail, I.; Skabardonis, A. 2013. Person-based traffic responsive signal control optimization, IEEE Transactions on Intelligent Transportation Systems 14(3): 1278–1289. http://doi.org/10.1109/TITS.2013.2259623
- De Oliveira, D.; Bazzan, A. L. C. 2006. Traffic lights control with adaptive group formation based on swarm intelligence, Lecture Notes in Computer Science 4150: 520–521. http://doi.org/10.1007/11839088_61
- García-Nieto, J.; Alba, E.; Carolina Olivera, A. 2012. Swarm intelligence for traffic light scheduling: application to real urban areas, Engineering Applications of Artificial Intelligence 25(2): 274–283. http://doi.org/10.1016/j.engappai.2011.04.011
- Kerner, B. S. 2002. Empirical macroscopic features of spatialtemporal traffic patterns at highway bottlenecks, Physical Review E 65. http://doi.org/10.1103/PhysRevE.65.046138
- Kita, E.; Toyoda, T. 2000. Structural design using cellular automata, Structural and Multidisciplinary Optimization 19(1): 64–73. http://doi.org/10.1007/s001580050086
- Lan, L. W.; Chang, C.-W. 2005. Inhomogeneous cellular automata modeling for mixed traffic with cars and motorcycles, Journal of Advanced Transportation 39(3): 323–349. http://doi.org/10.1002/atr.5670390307
- Lan, L. W.; Chang, C.-W. 2003. Motorbike’s moving behavior in mixed traffic: particle-hopping model with cellular automata, Journal of the Eastern Asia Society for Transportation Studies 5: 23–37.
- Li, K.-P.; Gao, Z.-Y.; Ning, B. 2005. Cellular automaton model for railway traffic, Journal of Computational Physics 209(1): 179–192. http://doi.org/10.1016/j.jcp.2005.03.016
- Mamei, M.; Roli, A.; Zambonelli, F. 2005. Emergence and control of macro-spatial structures in perturbed cellular automata, and implications for pervasive computing systems, IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 35(3): 337–348. http://doi.org/10.1109/TSMCA.2005.846379
- McKenney, D.; White, T. 2013. Distributed and adaptive traffic signal control within a realistic traffic simulation, Engineering Applications of Artificial Intelligence 26(1): 574–583. http://doi.org/10.1016/j.engappai.2012.04.008
- Montana, D. J.; Czerwinski, S. 1996. Evolving control laws for a network of traffic signals, in Genetic Programming 1996: Proceedings of the First Annual Conference, 28–31 July 1996. Stanford University, 333–338.
- Nagatani, T. 2008. Dynamics and schedule of shuttle bus controlled by traffic signal, Physica A: Statistical Mechanics and its Applications 387(23): 5892–5900. http://doi.org/10.1016/j.physa.2008.06.038
- Nassab, K.; Schreckenberg, M.; Boulmakoul, A.; Ouaskit, S. 2006. Effect of the lane reduction in the cellular automata models applied to the two-lane traffic, Physica A: Statistical Mechanics and its Applications 369(2): 841–852. http://doi.org/10.1016/j.physa.2006.01.073
- Niittymäki, J.; Pursula, M. 2000. Signal control using fuzzy logic, Fuzzy Sets and Systems 116(1): 11–22. http://doi.org/10.1016/S0165-0114(99)00034-2
- Pappis, C. P.; Mamdani, E. H. 1977. A fuzzy logic controller for a traffic junction, IEEE Transactions on Systems, Man and Cybernetics 7(10): 707–717. http://doi.org/10.1109/TSMC.1977.4309605
- Pipes, L. A. 1953. An operational analysis of traffic dynamics, Journal of Applied Physics 24(3): 274–281. http://doi.org/10.1063/1.1721265
- Robertson, D. I.; Bretherton, R. D. 1991. Optimizing networks of traffic signals in real time-the SCOOT method, IEEE Transactions on Vehicular Technology 40(1): 11–15. http://doi.org/10.1109/25.69966
- Sanchez-Medina, J. J.; Galan-Moreno, M. J.; Rubio-Royo, E. 2010. Traffic signal optimization in “La Almozara” district in Saragossa under congestion conditions, using genetic algorithms, traffic microsimulation, and cluster computing, IEEE Transactions on Intelligent Transportation Systems 11(1): 132–141. http://doi.org/10.1109/TITS.2009.2034383
- Sims, A. G.; Dobinson, K. W. 1980. The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits, IEEE Transactions on Vehicular Technology 29(2): 130–137. http://doi.org/10.1109/T-VT.1980.23833
- Soh, A. C.; Khalid, M.; Marhaban, M. H.; Yusof, R. 2009. Modeling of a multilane-multiple intersection based on queue theory and standard approach techniques, Simulation Modelling Practice and Theory 17(6): 1081–1105. http://doi.org/10.1016/j.simpat.2009.03.008
- Spyropoulou, I. 2007. Modelling a signal controlled traffic stream using cellular automata, Transportation Research Part C: Emerging Technologies 15(3): 175–190. http://doi.org/10.1016/j.trc.2007.04.001
- Taylor, N. B.; Heydecker, B. G. 2014. The effect of green time on stochastic queues at traffic signals, Transportation Planning and Technology 37(1): 3–19. http://doi.org/10.1080/03081060.2013.844907
- Triantis, K.; Sarangi, S.; Teodorović, D.; Razzolini, L. 2011. Traffic congestion mitigation: combining engineering and economic perspectives, Transportation Planning and Technology 34(7): 637–645. http://doi.org/10.1080/03081060.2011.602845
- Wei, C.-H. 2001. Analysis of artificial neural network models for freeway ramp metering control, Artificial Intelligence in Engineering 15(3): 241–252. http://doi.org/10.1016/S0954-1810(01)00019-X
- Wei, J.; Wang, A.; Du, N. 2005. Study of self-organizing control of traffic signals in an urban network based on cellular automata, IEEE Transactions on Vehicular Technology 54(2): 744–748. http://doi.org/10.1109/TVT.2004.841536
- Wei, H.; Yong, W.; Xuanqin, M.; Yan, W. 2001. A cooperative fuzzy control method for traffic lights, in 2001 IEEE Intelligent Transportation Systems Proceedings, 25–29 August 2001, Oakland, CA, USA, 185–188. http://dx.doi.org/10.1109/ITSC.2001.948653
- Wei, W.; Zhang, Y. 2002. FL-FN based traffic signal control, in Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002: FUZZ-IEEE’02, 12–17 May 2002, Honolulu, HI, US, 1: 296–300. http://dx.doi.org/10.1109/FUZZ.2002.1005004
- Wiering, M.; Van Veenen, J.; Vreeken, J.; Koopman, A. 2004. Intelligent Traffic Light Control. Technical Report UU-CS-2004-029. Institute of Information and Computing Sciences, Utrecht University, Netherlands. 30 p. Available from Internet: http://www.cs.uu.nl/research/techreps/repo/CS-2004/2004-029.pdf
- Wiering, M.; Vreeken, J.; Van Veenen, J.; Koopman, A. 2004. Simulation and optimization of traffic in a city, in Proceedings of the 2004 IEEE Intelligent Vehicles Symposium, 14–17 June 2004, Parma, Italy, 453–458. http://dx.doi.org/10.1109/IVS.2004.1336426
- Wong, S. C.; Wong, W. T.; Leung, C. M.; Tong, C. O. 2002. Group-based optimization of a time-dependent TRAN-SYT traffic model for area traffic control, Transportation Research Part B: Methodological 36(4): 291–312. http://doi.org/10.1016/S0191-2615(01)00004-2