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原文传递 USING SEASONAL AND DAY-OF-WEEK FACTORING TO IMPROVE ESTIMATES OF TRUCK VEHICLE MILES TRAVELED.

题名：	USING SEASONAL AND DAY-OF-WEEK FACTORING TO IMPROVE ESTIMATES OF TRUCK VEHICLE MILES TRAVELED.
作者：	Weinblatt-H
关键词：	ESTIMATING-; VEHICLE-MILES; ANNUAL-AVERAGE-DAILY-TRAFFIC; ACCURACY-; TRUCKS-; SEASONAL-VARIATIONS; DAY-OF-WEEK; BIAS-; PREVENTION-
摘要：	Procedures developed by FHWA for "factoring" short-duration traffic counts for seasonal and day-of-week variations in traffic volumes are capable of producing estimates of annual average daily traffic (AADT) that are quite accurate. Moreover, there is virtually no bias in these estimates, so AADT estimates for a set of road sections can be used to produce unbiased estimates of total vehicle miles traveled (VMT) for systems of roads. Unfortunately, corresponding procedures are not generally used for estimating AADT by vehicle class, and the less sophisticated procedures that are commonly used contribute to substantial overestimates of truck AADT and VMT. Current procedures apparently overestimate VMT by 25 to 40% for combination trucks and possibly more for single-unit trucks. Modified versions of the FHWA factoring procedure that are capable of producing substantially improved estimates of truck VMT and of AADT of combination trucks are presented. These procedures use seasonal and day-of-week factoring to reduce the errors in truck AADT estimates and to eliminate the upward bias in truck VMT estimates that result from the use of unfactored weekday classification counts.
总页数：	Transportation Research Record. 1996. (1522) pp1-8 (3 Tab., 14 Ref.)
报告类型：	科技报告