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Improving freeway traffic prediction for ITS applications.
| 题名： | Improving freeway traffic prediction for ITS applications. |
| 作者： | CHANG-EC-P (Oak Ridge Nat Lab, TN, USA) |
| 关键词： | CONFERENCE-; 8525-; INTELLIGENT-TRANSPORT-SYSTEM; 8735-; MOTORWAY-; 2752-; TRAFFIC-CONTROL; 0658-; DEMAND-ECON; 0169-; FUZZY-LOGIC; 6485-; FORECAST-; 0122-; PLANNING-; 0133- |
| 摘要： | Many operating agencies are currently developing computerized freeway traffic management systems to support traffic operations as part of the Intelligent Transportation System (ITS) user service improvements. This study illustrates the importance of using simplified data analysis and presents a promising approach for improving demand prediction and traffic data modeling to support pro-active traffic control. This study found that the proposed approach of combining advanced neural networks and conventional error correction is promising for improved ITS applications. (A*) For the covering abstract see ITRD E110327. |
| 总页数： | PROCEEDINGS OF 6TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD TORONTO, CANADA, NOVEMBER 8-12, 1999. 1999. pp- |
| 报告类型： | 科技报告 |
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