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DEVELOPMENT OF UNEQUALLY-SPACED TRAFFIC MEASUREMENT PREDICTION MODEL.
| 题名： | DEVELOPMENT OF UNEQUALLY-SPACED TRAFFIC MEASUREMENT PREDICTION MODEL. |
| 作者： | Lee-J-T |
| 关键词： | Arterial-highways; Forecasting-; Incident-detection; Intelligent-transportation-systems; Kalman-filtering; Spacing-; Traffic-measurement; Traffic-models; Unequally-spaced-traffic |
| 摘要： | This paper presents the development of unequally-spaced or irregularly observed traffic measurement prediction model. Traffic measurements from detectors are usually observed or assumed to be equally-spaced (e.g., every 30 seconds and 1 minute) for transportation research. However, some traffic measurements may not be observed or assumed to be equally-spaced, especially in arterial street and intelligent transportation systems (ITS) applications. Continuous-time Kalman filtering may be used for modeling unequally-spaced traffic measurements, especially for arterial street incident detection purpose. |
| 总页数： | Conference Title: North American Travel Monitoring Exhibition and Conference (NATMEC). Location: Middleton, Wisconsin. Sponsored by: Wisconsin Department of Transportation, Federal Highway Administration, Transportation Research Board, Transport Canada, |
| 报告类型： | 科技报告 |
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