Abstract
Based on wavelet transform and neural network theory, a traffic-flow prediction model, which was used in optimal control of Intelligent Traffic system, is constructed. First of all, we have extracted the scale coefficient and wavelet coefficient from the online measured raw data of traffic flow via wavelet transform; Secondly, an Artificial Neural Network model of Traffic-flow Prediction was constructed and trained using the coefficient sequences as inputs and raw data as outputs; Simultaneous, we have designed the running principium of the optimal control system of traffic-flow Forecasting model, the network topological structure and the data transmitted model; Finally, a simulated example has shown that the technique is effectively and exactly. The theoretical results indicated that the wavelet neural network prediction model and algorithms have a broad prospect for practical application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yi, J.: Dynamic Prediction of Traffic Flow and Congestion at Freeway Construction Zones. Journal of Construction Education. Spring 2002 7(1), 45–57 (2002)
Heribert, K., Claire, C.: Traffic Situation Prediction Applying Pattern Matching and Fuzzy Classification. In: European Symposium on Intelligent Techniques, June 3-4, Orthodox Academy of Crete, Greece (1999)
Jianming, H., Jingyan, S., Yi, Z.: Modeling and Analysis for Self-organization of Urban Traffic Flow. In: The 8th International IEEE Conference on Intelligent Transportation Systems, Vienna, Austria, September 13-16 2005, pp. 490–495. IEEE Computer Society Press, Los Alamitos (2005)
Jianming, H., Chunguang, Z., Jingyan, S.: An Applicable Short-term Traffic Flow Forecasting Method Based on Chaotic Theory. In: The 2003 IEEE International Conference on Intelligent Transportation Systems, Shanghai (2003)
Eul-Bun, L., Changmo, K., John, T.: Application of Macro- and Microscopic Simulations for the Traffic Planning of Urban Highway Reconstructions. Transportation Research 84th annual meeting, January 9-13, 2005, pp. 1–23 (2005)
Da-rong, H., Dacheng, W., Jun, S.: Forecasting Model of Traffic Flow Based Wavelet Transform and Fractal Theory. In: Proceeding of International Conference on Sensing, computing and Automation ‘06/5?chongqing, china, an added volume: Dynamics of Continuous Discrete and Impulsive Systems, Series B: Application and Algorithms, pp. 494–498 (2006)
Da-rong, H., Da-cheng, W., Jun, S.: Forecasting Model of Traffic Flow Based ARMA and Wavelet Transform. In: Proceeding of Dynamics and Impulsive Systems ‘06/7, Qingdao, China, An supplementary volume: Dynamics of Continuous, Discrete and Impulsive Systems, series A: Mathematic analysis, pp. 860–869 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, D., Bai, Xr. (2007). A Wavelet Neural Network Optimal Control Model for Traffic-Flow Prediction in Intelligent Transport Systems. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_127
Download citation
DOI: https://doi.org/10.1007/978-3-540-74205-0_127
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
Online ISBN: 978-3-540-74205-0
eBook Packages: Computer ScienceComputer Science (R0)