01370334

Component

https://doi.org/10.3141/2308-05

http://scholar.google.com...sler&publication_year=2012

The demographic characteristics of commuters are significant determining factors in many transportation-related policy and planning decisions. A popular way of obtaining the demographic characteristics of roadway system commuters is through license plate studies. There is a concern, however, that data collection factors including time, day, and location of data collection can potentially affect the observed demographic characteristics of the collected samples. This study uses statistical tests to assess the sensitivity of observed demographic characteristics from license plate data collection to data collection parameters by using data collected in the I-85 high-occupancy vehicle corridor in the Atlanta, Georgia, metropolitan area.

01472278

12-3931

English

pp 37–46

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263061

Print

Figures; Maps; References; Tables

Automatic license plate readers; Case studies; Commuters; Data quality; Demographics; High occupancy toll lanes; High occupancy vehicle lanes; Location; Periods of the day

Atlanta (Georgia)

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2012 5:20PM

• Advances in Uncertainty Treatment in FHWA Procedure for Estimating Annual Average Daily Traffic Volume
• Analysis of Travel Time Reliability in New York City Based on Day-of-Week and Time-of-Day Periods
• Average Travel Time Estimations for Urban Routes That Consider Exit Turning Movements
• Bluetooth Sensor Data and Ground Truth Testing of Reported Travel Times
• Comparative Evaluation of Reported Speeds from Corresponding Fixed-Point and Probe-Based Detection Systems
• Comparison of Modeling Approaches for Imputation of Video Detection Data in Intelligent Transportation Systems
• Development of Hypothesis Test for Travel Time Data Quality
• Estimating Traffic Speed with Single Inductive Loop Event Data
• Estimation of Multiclass and Multilane Counts from Aggregate Loop Detector Data
• Evaluation of Thermal Image Video Sensors for Stop Bar Detection at Signalized Intersections
• Exploring Link Covering and Node Covering Formulations of Detection Layout Problem
• Generating Route-Specific Origin–Destination Tables Using Bluetooth Technology
• Household-Level Global Positioning System Travel Data to Measure Regional Traffic Congestion
• Multisensor Data Integration and Fusion in Traffic Operations and Management
• Probabilistic Fusion of Vehicle Features for Reidentification and Travel Time Estimation Using Video Image Data
• Short-Term Travel Time Prediction Considering the Effects of Weather
• Side-Fire Lidar-Based Vehicle Classification
• Studying Patterns of Use of Transport Modes Through Data Mining: Application to U.S. National Household Travel Survey Data Set
• Traffic Ground Truth Estimation Using Multisensor Consensus Filter