Research on the Application of Intelligent Algorithm in Short-Term Traffic Flow Forecast
文献类型：会议论文
| 作者 | Wang DP(王丹萍) ; Hu KY(胡琨元); Han Xiaowei
|
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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