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Statistical Methods for Optimally Locating Automatic Traffic Recorders; Technical rept
| 题名： | Statistical Methods for Optimally Locating Automatic Traffic Recorders; Technical rept |
| 作者： | Cheng, C.; Nachtsheim, C. J.; Benson, P. G. |
| 关键词： | Traffic counts; Computer applications; Statistical analysis; Position(Location); Algorithms; Mathematical models; Traffic surveillance |
| 摘要： | Traffic monitoring involves the collection of traffic data such as traffic volume, traffic composition, vehicle speed, truck weight. These data provide information for highway planning, engineering design, and traffic control. In addition, legislative decisions such as budget allocation, selection of state highway routes, and the determination of speed limits require traffic data. The traffic monitoring program recommended by the Federal Highway Administration consists of three elements or subprograms: Automatic Traffic Recording (ATR), the Highway Performance Monitoring System (HPMS), and a 'special needs' programs. These three programs generate information about traffic volumes, traffic mix (i.e. vehicle classification), and truck weights. The project focuses on the problem of using the traffic-volume data provided by these programs to estimate traffic volumes on highways that are not currently monitored. |
| 总页数： | 134p |
| 报告类型： | 科技报告 |
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