1Transportation research center, Traffic network study tool: TRANSYT - 7F software summary. University of Florida, 1987.
2Hunt P B, Robertson D I, Bretherton R D, et al. The SCOOT on - line traffic signal optimisation technique. Traffic Engineering & Con- trol, 1982, 23(4).
3Lowrie P R. The Sydney coordinated adaptive traffic system - princi- ples, methodology, algorithms// International Conference on Road Traffic Signalling, 1982, London, United Kingdom. 1982 (207).
4Chien S I J, Ding Y, Wei C. Dynamic bus arrival time prediction with artificial neural networks. Journal of Transportation Engineering, 2002, 128(5) : 429 -438.
5Wei W, Zhang Y, Mbede J B, et al. Traffic signal control using fuzzy logic and//Systems, Man, and Cybernetics, 2001 IEEE International Conference on. IEEE, 2001, 2: 1335- 1340.
6List G F, Cetin M. Modeling traffic signal control using Petri nets. In- telligent Transportation Systems, IEEE Transactions on, 2004, 5 (3) : 177 - 187.
7Yu X H, Stubberud A R. Markovian decision control for traffic signal systems[ C]//Decision and Control, 1997. , Proceedings of the 36th IEEE Conference on. IEEE, 1997, 5:4782 -4787.
8Dorigo M, Blum C. Ant colony optimization theory: A survey. Theo- retical computer science, 2005, 344 (2) : 243 - 278.
9M. Dorigo, M. Birattari, T. Stuzle, Ant Colony Optimization, Artifi- cial Ants as a Computational Intelligence Technique, IEEE Computa- tional Intelligence Magazine, November 2006. vol. 1 (4) : 28 - 39.