00732298

Component

https://doi.org/10.3141/1551-08

http://scholar.google.com...cker&publication_year=1996

Estimates of vehicle miles traveled (VMT) are used extensively in transportation planning for allocating resources, estimating vehicle emissions, computing energy consumption, and assessing traffic impact. The estimates used in these applications usually come from different sources. For an objective comparison of VMT estimates from different methods, the principles and assumptions supporting the methods and the potential sources of error associated with the methods must be clearly understood. Methods of estimating VMT, including those used by the Indiana Department of Transportation (INDOT), are reviewed. Also presented is a comparison of statewide VMT estimates in Indiana from INDOT's traffic count-based method and a non-traffic-data cross-classification VMT estimation model developed for INDOT. The cross-classification model is an independent source of statewide VMT estimates in Indiana to supplement INDOT's traffic count-based estimates. The results of the comparison indicate that INDOT's traffic count-based estimates can be 10 to 20% higher than the estimates from the cross-classification VMT estimation model.

This paper appears in Transportation Research Record No. 1551, Innovative Transportation Data Management, Survey Methods, and Geographic Information Systems.

English

p. 59-66

1996

Transportation Research Record

0309059216

References (19) ; Tables (3)

Alternatives analysis; Estimating; Methodology; Traffic counts; Transportation planning; Vehicle miles of travel

Indiana

Indiana

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

TRIS, TRB

Feb 5 1997 12:00AM

• ACCESS MANAGEMENT USING GEOGRAPHIC INFORMATION SYSTEMS AND TRAFFIC MANAGEMENT TOOLS IN PENNSYLVANIA
• ADVANCED TECHNIQUES FOR TRAVEL TIME DATA COLLECTION
• APPLICATION OF RELATIONAL DATA BASE STRUCTURE FOR MANAGING NETWORK INFORMATION
• ARCHITECTURE OF A CONGESTION MANAGEMENT SYSTEM FOR CONTROLLED-ACCESS FACILITIES
• DETERMINING DETAILED ORIGIN-DESTINATION AND TRAVEL TIME PATTERNS USING VIDEO AND MACHINE VISION LICENSE PLATE MATCHING
• DEVELOPMENT AND BENEFITS OF COMPUTER-AIDED TRAVEL TIME DATA COLLECTION
• GEOGRAPHIC INFORMATION SYSTEM FRAMEWORK FOR MODELING MOBILE-SOURCE EMISSIONS
• GEOGRAPHIC INFORMATION SYSTEM-BASED TRANSPORTATION FORECAST MODEL FOR SMALL URBANIZED AREAS
• INCENTIVES AND RATES OF RETURN FOR TRAVEL SURVEYS
• INTEGRATING GEOGRAPHIC INFORMATION SYSTEMS FOR TRANSPORTATION AND AIR QUALITY MODELS FOR MICROSCALE ANALYSIS
• NONRESPONSE AND URBAN TRAVEL MODELS
• ORIGIN-DESTINATION SURVEY DATA DISSEMINATION IN METROPOLITAN CONTEXT: A MULTIMEDIA EXPERIENCE
• RETROSPECTIVE INTERVIEWING AND ITS APPLICATION IN STUDY OF RESIDENTIAL MOBILITY
• SAMPLE WEIGHTS FOR PUGET SOUND TRANSPORTATION PANEL USING STRATIFICATION ANCHORS IN PUBLIC USE MICRODATA SAMPLE AND PROBABILISTIC MODELS FOR SELF-SELECTION
• SMASH (SIMULATION MODEL OF ACTIVITY SCHEDULING HEURISTICS): SOME SIMULATIONS
• VEHICLE CLASSIFICATION USING ADVANCED TECHNOLOGIES