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| Influence of the Initialization Method on the Stability of Traffic Cellular Automata Model |
| DENG Jianhua, FENG Huanhuan, GE Ting
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| College of Civil Engineering, Suzhou University of Science and Technology, Suzhou 215011,China |
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Abstract Aiming at the initial instability of the existing traffic cellular automata model and the initial fluctuation of data output for a long time, a new traffic flow initialization method is designed based on the principle of Fisher-Yates algorithm. This method can ensure the randomness of the location and update timing of the vehicle from entering the cell space to the subsequent evolution and update. Through the evolution experiment of the model using the new traffic flow initialization method, the results show that the initial fluctuation range is within 50 steps under the condition of arbitrary space occupancy; When the evolution update reaches 3600 steps, the output data of the model after excluding the output of the initial fluctuation interval has converged enough, and the operation of the model is stable enough.
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Received: 01 December 2021
Published: 21 July 2023
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