原文传递 Validation and Sampling of Automatic Rail Passenger Counters for National Transit Database and Internal Reporting at TriMet.
题名: Validation and Sampling of Automatic Rail Passenger Counters for National Transit Database and Internal Reporting at TriMet.
作者: Strathman-James-G; Kimpel-Thomas-J; Callas-Steve
关键词: Accuracy-; Algorithms-; Automatic-passenger-counting; Bias-Statistics; Case-studies; Data-structure; National-Transit-Database; Passenger-miles; Peak-periods; Precision-; Public-transit; Ridership-; S
摘要: Although automatic passenger counters (APCs) have been used for many years, significant obstacles have hindered their becoming a mainstream source of data for monitoring ridership and peak load, estimating passenger miles, and other measures of passenger use important for transit management. The key to APC usefulness is the automatic, routine conversion of the APC data stream into a database of accurate counts. On the basis of case studies of transit agencies, five issues important to achieving this goal are analyzed: data structures, data accuracy, accuracy need and sampling requirements, controlling drift, and balancing algorithms. Balancing algorithms deal with routes with loop ends, negative loads, and rounding. Sampling and accuracy requirements related to passenger miles estimates for National Transit Database (NTD) reporting are also analyzed. The analysis shows that, for most agencies, NTD precision requirements can be met with a small level of fleet penetration, provided that measurement, screening, parsing, and balancing methods keep bias in load measurement below 8%.
总页数: Transportation Research Record: Journal of the Transportation Research Board. 2005. (1927) pp207-216 (5 Fig., 1 Tab., 8 Ref.)
报告类型: 科技报告
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