01014824

Component

https://doi.org/10.3141/1917-16

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

As part of the implementation initiatives undertaken by the Indiana Department of Transportation Research Division, this paper presents the effort made to identify potential issues arising from traffic data processing and to assess technologies and data needs to meet the requirements of traffic design inputs in the "Mechanistic-Empirical Pavement Design Guide." Global Positioning Systems (GPSs) and geographical information system (GIS) technologies were proposed to manage weigh-in-motion (WIM) and automatic vehicle classification site information and manipulate the traffic design input database. Computer programs were developed to process the raw data ASCII files generated from a WIM vendor’s software. A platform was developed to combine GPS coordinates, GIS base maps, data processing programs, and the traffic database into an integral unit. Three WIM sites were selected for trial study. It was demonstrated that, with this platform, the WIM sites and database can be accessed visually and more efficiently. In addition, the computer programs can save significant data processing time. Other issues, such as the possible effect of unclassified vehicle count, were identified. On the basis of findings from the implementation initiatives, necessary efforts and future implementation activities are outlined.

01014803

English

pp 141-148

2005

Transportation Research Record: Journal of the Transportation Research Board

0309093902

Print

Figures (5) ; References (7) ; Tables (4)

Automatic vehicle classification; Computer programs; Databases; Geographic information systems; Global Positioning System; Implementation; Information processing; Mechanistic design; Technology assessment; Traffic data; Weigh in motion

Data needs

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

TRIS, TRB, ATRI

Dec 27 2005 3:25PM

• 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
• Cost-Effective Reporting of Travel on Local Roads
• 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