01663578

Component

https://doi.org/10.1177/0361198118794048

This study developed methods to estimate axle factors and vehicle class from length-based data streams. A set of eight methods was proposed and evaluated in different testing schemes intended to observe performance on homogeneous and heterogeneous data. The initial analysis used length-based data from 61 sites in Wisconsin. The research team compared performance of the methods estimating axle factors and vehicle class proportions. Performance was comparable and consistent between homogeneous and heterogeneous subsets of data. The research team selected two methods for a final round of analysis based on their accuracy and robustness to heterogeneity. For the final round of analysis, the research team assembled a multistate dataset using data from Wisconsin and from 14 other states represented in a dataset from the Long Term Pavement Performance program. The final round of analysis compared performance under different seasons, facility type, and road character (urban vs. rural). Performance of the two identified methods was deemed appropriate and they are recommended for implementation.

18-00324

English

pp 110-121

2018-12

Transportation Research Record: Journal of the Transportation Research Board

Digital/other

Figures (5) ; References (21) ; Tables (2)

Automatic vehicle classification; Axles; Trucks by number of axles; Vehicle length

Wisconsin

Data and Information Technology; Highways; Operations and Traffic Management

TRIS, TRB, ATRI

Jan 8 2018 10:06AM

• A Vibration-Based Vehicle Classification System using Distributed Optical Sensing Technology
• Annual Average Nonmotorized Traffic Estimates from Manual Counts: Quantifying Error
• Application of Trajectory Data for Investigating Vehicle Behavior in Mixed Traffic Environment
• Automated Validation and Interpolation of Long-Duration Bicycle Counting Data
• Challenges in Monitoring Regional Trail Traffic
• Comparison of Pedestrian Count Expansion Methods: Land Use Groups versus Empirical Clusters
• Coupled Approximation of U.S. Driving Speed and Volume Statistics using Spatial Conflation and Temporal Disaggregation
• Development of Statewide Annual Average Daily Traffic Estimation Model from Short-Term Counts: A Comparative Study for South Carolina
• Estimating Annual Average Daily Bicycle Traffic without Permanent Counter Stations
• Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze
• How Accurately Can We Measure from Video? Practical Considerations and Enhancements of the Camera Calibration Procedure
• Incorporating the Effect of Special Events into Continuous Count Site Selection for Pedestrian Traffic
• Method for Imputing Missing Data using Online Calibration for Urban Freeway Control