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SOURCES OF ERROR IN ESTIMATING TRUCK TRAFFIC FORM AUTOMATIC VEHICLE CLASSIFICATION DATA.
| 题名： | SOURCES OF ERROR IN ESTIMATING TRUCK TRAFFIC FORM AUTOMATIC VEHICLE CLASSIFICATION DATA. |
| 作者： | Sharma-SC; Liu-GX; Thomas-S |
| 关键词： | ADJUSTMENT-FACTORS; ANNUAL-AVERAGE-DAILY-TRAFFIC; AUTOMATIC-VEHICLE-CLASSIFICATION; FACTOR-ANALYSIS; PATTERN-RECOGNITION-SYSTEMS; SAMPLES-; TRAFFIC-ESTIMATION; TRUCK-TRAFFIC |
| 摘要： | Truck annual average daily traffic estimation errors resulting from sample classification counts are computed in this paper under two scenarios. One scenario investigates an improper factoring procedure that may be used by highway agencies. The study results show consistent and substantial overestimates of truck traffic when truck counts are estimated using adjustment factors obtained from total traffic volume. In the second scenario, better estimates result when the required factors are obtained from a permanent automatic vehicle classifier exhibiting a pattern of truck traffic that is similar to the pattern at the sample count site. A limited research analysis of truck type estimation from sample counts is also presented in this paper. |
| 总页数： | Journal of Transportation and Statistics. 1998/10. 1(3) pp89-93 (1 Fig., 2 Tab., Refs.) |
| 报告类型： | 科技报告 |
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