01023104

Component

https://doi.org/10.3141/1945-07

http://scholar.google.com...mann&publication_year=2006

Traffic monitoring devices count or classify vehicles or measure characteristics such as vehicle speed to portray traffic movement. The accuracy of these devices is often assessed by a comparison of aggregate or binned outputs with reference values. However, this process overlooks errors in the detection or measurement of individual vehicles. If vehicle-by-vehicle data are available, the accuracy analysis may be improved. Several methods are presented to assess traffic monitoring devices with vehicle-by-vehicle data. The approach taken is to use measures of agreement based on a frequency table, called a confusion matrix, which cross-classifies the data from traffic monitoring devices and a reference standard. In addition to the overall accuracy, several forms of the kappa statistic with and without weighting are presented. Prevalence is treated by normalization. Findings are illustrated by data from a study of automatic vehicle classifiers.

01031684

English

pp 56-60

2006

Transportation Research Record: Journal of the Transportation Research Board

0309099536

Print

References (21) ; Tables (4)

Accuracy; Automatic data collection systems; Data collection; Evaluation and assessment; Monitoring; Traffic congestion; Traffic flow; Traffic speed; Vehicle classification

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Mar 3 2006 10:18AM

• Artificial Neural Network Method for Length-Based Vehicle Classification Using Single-Loop Outputs
• Calculation of Travel Time Variability from Loop Detector Data
• Cellular-Based Data-Extracting Method for Trip Distribution
• Characterization of Truck Traffic in California for Mechanistic-Empirical Design
• Detection of Invalid Loop Detector Data in Urban Areas
• Effect of Sensor Spacing on Performance Measure Calculations
• Evaluation of Quartz Piezoelectric Weigh-in-Motion Sensors
• Identification and Correction of Dual-Loop Sensitivity Problems
• Identifying Lane-Mapping Errors at Freeway Detector Stations
• Sensitivity of NCHRP 1-37A Pavement Design to Traffic Input
• Statistical Investigations of Statutory Holiday Effects on Traffic Volumes
• Using Automatic Vehicle Identification Data to Gain Insight into Travel Time Variability and Its Causes