01014812

Component

https://doi.org/10.3141/1917-01

http://scholar.google.com...geer&publication_year=2005

The purpose of the Highway Performance Monitoring System of the Rural and Local Roads Reporting Project was to develop a more accurate, yet cost-effective, methodology for estimating vehicle miles traveled (VMT) on urban local roads, rural local roads, and rural minor collectors throughout Florida. A review of Florida’s existing methodology, methodologies of five “peer” states, and available research was completed to develop specific evaluation criteria that could then be applied to several conceptual methodologies developed from the synthesis of information. The project team selected a preferred VMT estimation methodology that used census data and random sampling. The preferred methodology makes use of available census data and an intuitive correlation between travel and population density, job density, and roadway density, while it eliminates the dependence on volume groups that is part of FHWA’s methodology for higher-order roadways. The density factors are used to group similar zip code tabulation areas (ZCTAs) into subregions to allow random samples taken in one subregion to represent similar ZCTAs statewide on the basis of any or all the following: population, job, and roadway density. A minimum number of random samples is selected to retain statistical validity while minimizing costs to conduct traffic counts. The methodology is flexible enough to allow adjustments (e.g., restratification based on indicators such as coefficients of variation) that improve the quality of the results from year to year. Implementing a test case of the methodology to determine real-world applicability is the next logical step in the research process.

01014803

English

pp 1-10

2005

Transportation Research Record: Journal of the Transportation Research Board

0309093902

Print

Figures (4) ; References (9) ; Tables (5)

Census; Cost effectiveness; Estimating; Job opportunities; Methodology; Population density; Random sampling; Traffic counts; Travel; Vehicle miles of travel

Cost minimization; Local roads; Minor road

Florida

Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Dec 23 2005 2:08PM

• Assessing Issues, Technologies, and Data Needs to Meet Traffic Input Requirements by Mechanistic-Empirical Pavement Design Guide: Implementation Initiatives
• Assessing Robustness of Imputation Models Based on Data from Different Jurisdictions: Examples of Alberta and Saskatchewan, Canada
• Comparison of Trip Determination Methods in Household Travel Surveys Enhanced by a Global Positioning System
• Connectionist Approach to Improving Highway Vehicle Classification Schemes: The Florida Case
• Customized Pretrip Prediction of Freeway Travel Times for Road Users
• Developing Custom Tools for Deriving Complex Data from Travel Survey Databases
• Enterprisewide Spatial Data Integration of Legacy Systems for Asset Management: The Case of the Illinois Department of Transportation
• Estimating Intersection Control Delay Using Large Data Sets of Travel Time from a Global Positioning System
• Evaluation of Microwave Radar Trailers for Nonintrusive Traffic Measurements
• Experience Implementing a User Service for Archived Intelligent Transportation Systems Data
• Exploiting Correlations Between Link Flows to Improve Estimation of Average Annual Daily Traffic on Coverage Count Segments: Methodology and Numerical Study
• Factors Affecting Minimum Number of Probes Required for Reliable Estimation of Travel Time
• Freeway Detector Assessment: Aggregate Data from Remote Traffic Microwave Sensor
• Improved Dual-Loop Detection System for Collecting Real-Time Truck Data
• Monitoring and Predicting Freeway Travel Time Reliability: Using Width and Skew of Day-to-Day Travel Time Distribution
• Probabilistic Vehicle Identification Techniques for Semiautomated Transportation Security
• Reality-Based Approach to Stated Preference Surveys
• Traffic Measurement and Vehicle Classification with Single Magnetic Sensor
• Trip-Chaining Trends in the United States: Understanding Travel Behavior for Policy Making
• Two Minutes per Person per Day Each Year: Exploration of Growth in Travel Time Expenditures
• Vehicle Classification Model for Loop Detectors Using Neural Networks