Application of a Traffic Flow Prediction Model Based on Neural Network in Intelligent Vehicle Management

作者：Guo, Yang; Lu, Lu^*

来源：International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33(3): 1959009.

DOI：10.1142/S0218001419590092

• Data mining
• neural network
• traffic flow
• prediction
• artificial intelligence

The ultimate direction of intelligent vehicle management is to achieve artificial intelligence (AI), and data mining is an important supporting technology for AI. The adoption of new AI technology can effectively improve operational efficiency and safety, especially in terms of performance. This paper takes the researches on traffic jam as an example and proposes one algorithm for combination forecasting model based on a segmentation algorithm for traffic flow sequence and BP neural network prediction. In this paper, it also introduces the traffic flow clustering analysis and mining algorithms for congestion events at the intersections. The blocking point algorithm is improved, and experimental analysis is performed through samples. Experimental results show that the algorithm use for combination forecasting model can greatly improve the real-time performance of short-term traffic flow prediction and significantly reduce the prediction error rate. Therefore, this algorithm has practical and innovative significance in the field of intelligent vehicle management.

• 出版日期2019-3
• 单位华南理工大学