Still Flowing: Approaches to Traffic Flow and Traffic Jam Modeling
Operations Research
Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System
CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
Application of interval type-2 fuzzy neural networks to predict short-term traffic flow
International Journal of Computer Applications in Technology
International Journal of Wireless and Mobile Computing
A dynamic QoS provisioning call admission control in cellular mobile using fuzzy logic
International Journal of Wireless and Mobile Computing
International Journal of Computing Science and Mathematics
International Journal of Computer Applications in Technology
An evolvable cellular automata based data encryption algorithm
International Journal of Wireless and Mobile Computing
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On the basis of Nagel-Schreckenberg NaSch traffic flow model, a new Three-lane Fuzzy Cellular Automaton TFCA model for mixed traffic with buses is established. In our study, the fuzzy control rules are used to determine the random parameters which are capable of describing the mixed traffic flow, especially the braking rate, lane change rules, overtaking and random slow mechanisms of buses are reset just for analysis of psychological factors of bus drivers. Finally the developed TFCA model has been validated by using computer simulation. The results show that the model could be used to reveal the essence of urban three-lane mixed traffic flow characteristics.