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Investigation of Speed Estimation Using Single Loop Detectors.
| 题名： | Investigation of Speed Estimation Using Single Loop Detectors. |
| 作者： | Guo-J.; Xia-J.; Smith-B. |
| 关键词： | *Speed-estimation; *Traffic-management; *Detectors-.;Transportation-engineering; Freeways-; Metropolitan-areas; California-; Virginia-; Traffic-congestion; Single-loop; Kalman-filter; Algorithms-; Calibration-; Performance-evaluation. |
| 摘要： | The ability to collect or estimate accurate speed information is of great importance to a large number of Intelligent Transportation Systems (ITS) applications. Estimating speeds from the widely used single inductive loop sensor has been a difficult, yet important challenge for transportation engineers. Based on empirical evidence observed from the sensor data from two metropolitan regions in Northern Virginia and California, this research effort developed a Kalman filter model to perform speed estimation for congested traffic. Taking advantage of the coexistence of dual loop and single loop stations in typical freeway management systems, a calibration procedure was proposed for seeding and initiating the algorithm. Empirical evaluation showed that the proposed algorithm can produce accurate speed estimates (on the order of 1-3 miles/hour error) under congested traffic conditions. |
| 报告类型： | 科技报告 |
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