Research on the Application of the Prediction of the Expressway Traffic Flow Based on the Neural Network with Genetic Algorithm

Abstract:

In order to improve the efficiency and accuracy of the prediction of expressway traffic flow, this paper, based on the characteristics of the data of the expressway traffic flow, focuses on an optimized method of prediction with the application of the neural network with genetic algorithm. Applying genetic algorithm, optimizing BP neural network structure and establishing a new mixed model, this algorithm speed up the slow convergence velocity of traditional BP neural network prediction and increases the possibility to escape local minima. This algorithm based on the optimized genetic neural network predicts the actual data of the expressway traffic flow, the result of which shows that the application of the optimized method of prediction with the genetic neural network algorithm is effective and that it improves the rate and the accuracy of the prediction of the expressway traffic flow.

• Periodical: Advanced Materials Research (Volumes 189-193)
• Pages: 4400-4404
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.189-193.4400
• Online since: February 2011
• Authors: Chun Mei Zhu, Chang Peng Yan, Xiao Li Xu, Guo Xin Wu
• Keywords: Genetic Algorithm (GA), Neural Network (NN), Optimize Network Structure, Traffic Flow Prediction

References

[1] Shunying Zhu, Hong Wang, and Hongyan Xing, Traffic Flow Parameter and Taffic Incident Dynamic Forecast Method, Nanjing：Southeast University Press，2008. (In Chinese).

[2] Jianyu Zhao, Jia Lei, Licai Yang, and Wenxing Zhu, RBF Neural Network Taffic Flow Forecasting Model Based on Particle Swarm Optimization , Journal of Highway and Transportation Research and Development, vol. 23, p.116.

[3] Liangjun Zhang , Jing Cao, Shizhong Jiang, Neural network Practical Course, Beijing: China Machine Press，2008. (In Chinese).

[4] Ji Tao, Pang Qingle , and Liu Xinyun, Study of Traffic Flow Forecasting Based on Genetic Neural Network, Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications, (2006).

DOI: 10.1109/isda.2006.257

[5] Florio L. Neural-network models for classification and forecasting of freeway traffic flow stability. Control Eng. &Practice, 1996 , 4(2): 153~160.

DOI: 10.1016/0967-0661(95)00221-9

[6] Jixiang Yang, Fan Wang, Guozhen Tan, Rongsheng Wang, Parallel BP Approach for Traffic Flow Forecasting, Journal of Chinese Computer Systems, vol. 30, p.2453–2456, 2009. (In Chinese).

[7] Wen Chen, Linna Pang，The Research of the Application of GABP Neural Network in Traffic Flow Prediction，Artificial Intelligence，May 2009. (In Chinese).

[8] Jia-bin Mei，The Application of Hereditary Algorithm，Journal of Wuhan Institute of Science and Technology，vol. 14, p.23–25，2001. (In Chinese).