Title :
A Cellular Automaton Traffic Model Considering the Influence of Driving State on Randomization
Author :
Zhengtao Xiang ; Juan Bao ; Yujin Li ; Li Xiong
Author_Institution :
Sch. of Electr. & Inf. Eng., Hubei Univ. of Automotive Technol., Shiyan, China
Abstract :
The cellular automaton (CA) traffic models are widely used to simulate the real traffic. Considering the influence of driving states on randomization, a cellular automaton model based on the NS model is proposed. In our new model, the randomization probability is different for different driving states, which is determined by the velocity changes after the step of deterministic deceleration. Simulation results show that the maximum flux of the new model is greater than that of the NS model, and the traffic evolution of the new model is more complex than that of the NS model.
Keywords :
cellular automata; probability; road traffic; CA traffic model; NS model; cellular automaton traffic model; deterministic deceleration; driving state; randomization probability; Acceleration; Automata; Complexity theory; Computational modeling; Educational institutions; Roads; Vehicles; cellular automaton; driving state; traffic flow;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
DOI :
10.1109/ICCIS.2013.307
