01173397

Component

https://doi.org/10.3141/2160-04

http://scholar.google.com...oyce&publication_year=2010

The availability and quality of transportation data is a cornerstone of any data-driven program. There is a continuous need to identify and develop alternative, reliable, and inexpensive sources of data and efficient and robust integration techniques. This research presents an innovative cost-effective application to collect geographic information system (GIS)–compatible data from image-based databases. Road inventory data on guardrail end-type locations along with other road features on more than 8,000 mi of Wisconsin State Trunk Network highways were collected. Data collected from image-based sources with Global Positioning System coordinates presented the familiar problem of spatial mismatch. A framework was developed based on the principles of dynamic segmentation to integrate the data and resolve the spatial mismatch problem. The principles of dynamic segmentation and route calibration are well established in literature. However, there were no specific examples of a framework that created a workable program and addressed issues pertaining to practical solutions for statewide data. The framework developed presents an efficient and automated solution for data integration, which is applicable to any relevant data set. A quantitative assessment of the performance of the data collection and map-matching procedures was conducted to assess the results. The results showed that road features collected from the image-based data sets were located within an average distance of 6 to 7 m of their location on the Wisconsin Department of Transportation GIS base maps, which were highly accurate, given the limitations of the data sets.

01173399

10-3993

English

pp 29-39

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309142885

Print

Figures (6) ; References (15)

Data collection; Geographic information systems; Global Positioning System; Guardrails; Highways; Inventory; State highways

Data integration; Dynamic segmentation; Spatial mismatch

Wisconsin

Data and Information Technology; Highways; I10: Economics and Administration

TRIS, TRB, ATRI

Sep 15 2010 3:58PM

• Approach to Collecting Local Freight Information
• Clustering Analysis to Characterize Mechanistic–Empirical Pavement Design Guide Traffic Data in North Carolina
• Combined-Cost and Bi-Objective Approaches to Multipurpose Location-Based Services Using Genetic Algorithms
• Data Collection of Freeway Travel Time Ground Truth with Bluetooth Sensors
• Developing an Asset Management Tool to Collect and Track Commitments on Environmental Mitigation Features
• Effect of Axle Load Measurement Errors on Pavement Performance and Design Reliability
• Effects of Temporal Data Aggregation on Performance Measures and Other Intelligent Transportation Systems Applications
• Empirical Evaluation of New Robust Travel Time Estimation Algorithms
• Evaluation of Autoscope, SmartSensor HD, and Infra-Red Traffic Logger for Vehicle Classification
• Project-Level Life-Cycle Benefit–Cost Analysis Approach for Evaluating Highway Segment Safety Hardware Improvements
• Simulation and Evaluation of Automated Vehicle Identification at Weigh-in-Motion Inspection Stations: Case Study from British Columbia, Canada
• Synthesis Framework for Generating County-Level Freight Data Using Public Sources for Spatial Autocorrelation Analysis
• Techniques for Validating an Automatic Bottleneck Detection Tool Using Archived Freeway Sensor Data
• Traffic Monitoring of Motorcycles During Special Events Using Video Detection
• Transportation Asset Management Systems and Climate Change: Adaptive Systems Management Approach
• Volume Data Correction for Single-Channel Advance Loop Detectors at Signalized Intersections