This publication consists of 16 papers that summarize vehicle length measurements and length-based vehicle classifications in congested freeway traffic; traceability and confidence intervals in vehicle detector evaluations; weekly similarities of traffic flow for different temporal scales using a hybrid prediction approach; and the identification of network sensor locations for estimation of traffic flow. This issue also covers algorithms for detector-error screening on basis of temporal and spatial information; a process to determine locations for motorcycle counts; software-based vehicle reidentification with existing loop infrastructure; and the effect of traffic load input level on mechanistic–empirical pavement design. Additionally, this TRR explores the bias in traffic data aggregation resulting from transition of traffic states; a semi-automated tool for extraction of microlevel traffic data from a videographic survey; re-identification of trucks on the basis of axle-spacing measurements to facilitate analysis of weigh-in-motion accuracy; and the estimation of average annual daily bicycle traffic with adjustment factors. This issue examines the estimation of spatially and temporally continuous bicycle volumes by using sparse data; an automated analysis of pedestrians’ nonconforming behavior and data collection at an urban crossing; bicycle and pedestrian monitoring programs in three states; and the application of seasonal adjustment factors to subsequent year data. (Author/publisher)
Samenvatting