Research on the Application of Intelligent Algorithm in Short-Term Traffic Flow Forecast
Wang DP(王丹萍); Hu KY(胡琨元); Han Xiaowei
2015
会议名称International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE)
会议日期April 24-26, 2015
会议地点Jinan, PEOPLES R CHINA
关键词Short-term traffic flow prediction genetic algorithm
页码275-280
中文摘要In recent years, with the vigorous development of intelligent transportation systems, traffic control and traffic flow guidance have become popular issue of intelligent transportation systems (ITS). The key issue to achieve traffic control guidance is to realize real-time and accurate short-term traffic flow forecasting. And the accuracy and real-time of prediction directly impact traffic control and induced effect. Achieving an accurate prediction of urban road short-term traffic flow is the key of urban road traffic control and traffic guidance. Since the single prediction method for the current is of low precision, we proposed wavelet and support vector machine (SVM) method to predict new fusion; in order to avoid falling into local optimal problem in the process while learning SVM knowledge, we use the particle swarm optimization (PSO) to optimize the key parameters of SVM and in order to improve the prediction accuracy of short-term traffic flow.
收录类别CPCI(ISTP)
产权排序1
会议主办者INst Nat Sci & Adv Technol
会议录PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING
会议录出版者ATLANTIS PRESS
会议录出版地Paris
语种英语
ISSN号1951-6851
ISBN号978-94-62520-64-6
WOS记录号WOS:000359443400049
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/16895]  
专题沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式
GB/T 7714
Wang DP,Hu KY,Han Xiaowei. Research on the Application of Intelligent Algorithm in Short-Term Traffic Flow Forecast[C]. 见:International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE). Jinan, PEOPLES R CHINA. April 24-26, 2015.
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