00743203

Component

https://doi.org/10.3141/1592-07

http://scholar.google.com...rman&publication_year=1997

For more than 20 years the Illinois Department of Transportation (IDOT) has been using the results of its Condition Rating Survey (CRS) to make policy decisions regarding pavement rehabilitation activities, assess overall network condition throughout the state, and present funding requests to the state legislature. Before the early 1990s the CRSs were conducted manually by assigning a subjective rating ranging from 1.0 to 9.0 to each pavement section in the network. Since 1994 IDOT has used automated equipment to record roughness, rutting, and faulting information and videotapes at a workstation to identify additional distress. The acquisition of the automated equipment resulted in changes to the CRS procedures. Instead of subjectively assigning a rating to a pavement section, automated sensor data are used in conjunction with the identification of up to five predominant distress types and severity levels to calculate a CRS value. Models were developed to accommodate this change within the department so that CRS ratings determined by the new procedures would be within one-half point of the rating that would have been assigned by manual procedures. In addition, the models were developed to minimize the amount of time spent biennially conducting the CRS for Interstate pavements and primary highways. As a result of the changes in the CRS procedures, the rating of the predominant distress types and severities for each pavement section became more important. For this reason, the department identified the need for additional training that could be used to supplement the annual training class and provide immediate support to the CRS raters as they performed the condition surveys. An interactive, compact-disc (CD)-based training program that features full multimedia capabilities such as video, audio, and photograph was developed. An interactive testing and assessment package is also being developed as part of the training package. A summary of the development of the CRS rating models and the CD-based training program designed to be used at the workstation as surveys are conducted is presented.

This paper appears in Transportation Research Record No. 1592, Pavement Management and Performance.

English

p. 55-62

1997

Transportation Research Record

0309061660

Figures (10) ; References (4) ; Tables (1)

Condition surveys; Decision making; Defects; Driver rehabilitation; Faulting; Inspection; Pavement distress; Pavement management systems; Pavements; Policy; Roughness; Rutting; State departments of transportation; Training; Videotapes

Rehabilitation

Illinois

Illinois

Design; Education and Training; Highways; Maintenance and Preservation; Pavements; Policy; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces; I60: Maintenance

TRIS, TRB

Nov 24 1997 12:00AM

• ALGORITHM FOR DETERMINING WEIGHT FACTORS OF PAVEMENT DISTRESS INDEX
• ASSESSMENT OF LONG-TERM PAVEMENT PERFORMANCE PROGRAM MANUAL DISTRESS DATA VARIABILITY: BIAS AND PRECISION
• CAPABILITIES OF MULTIMEDIA PAVEMENT DISTRESS IDENTIFICATION TRAINING
• COST-EFFECTIVENESS-BASED PRIORITY PROGRAMMING OF STANDARDIZED PAVEMENT MAINTENANCE
• ESTABLISHING NATIONAL DISTRIBUTED NETWORK FOR LONG-TERM PAVEMENT PERFORMANCE INFORMATION MANAGEMENT SYSTEM
• EVALUATION OF LONG-TERM PAVEMENT PERFORMANCE DATA USING HDM-III PROBABILISTIC FAILURE-TIME MODELS FOR CRACK INITIATION IN BITUMINOUS PAVEMENTS
• EVALUATION OF PANEL CHARACTERISTICS AND USER-BASED PAVEMENT SERVICEABILITY
• EXPERT PROJECT RECOMMENDATION PROCEDURE FOR ARIZONA DEPARTMENT OF TRANSPORTATION'S PAVEMENT MANAGEMENT SYSTEM
• GEOGRAPHIC INFORMATION SYSTEM APPLIED TO PAVEMENT EVALUATION BY VIDEO-LASER ROAD SURFACE TESTER MULTIFUNCTION DEVICE
• GLOBAL POSITIONING SYSTEM WITH AN ATTITUDE: METHOD FOR COLLECTING ROADWAY GRADE AND SUPERELEVATION DATA
• GOAL-ORIENTED OPTIMIZATION PROCEDURE FOR LONG-TERM HIGHWAY INVESTMENT PLANNING
• INVESTIGATION OF RELATIONSHIP BETWEEN DETERMINISTIC AND PROBABILISTIC PREDICTION MODELS IN PAVEMENT MANAGEMENT
• LONG-TERM NETWORK PERFORMANCE: FUNCTION OF PAVEMENT MANAGEMENT SYSTEM MAINTENANCE SELECTION POLICY
• METHODOLOGY FOR DEVELOPING GENERIC PERFORMANCE CURVES FOR FLEXIBLE PAVEMENTS IN PUERTO RICO USING CLUSTERING TECHNIQUES
• NORTH CAROLINA'S EXPERIENCE IN DEVELOPMENT OF PAVEMENT PERFORMANCE PREDICTION AND MODELING
• PREDICTION OF HIGHWAY PERFORMANCE MONITORING SYSTEM'S PRESENT SERVICEABILITY RATING FOR LOCAL AGENCIES USING SAN FRANCISCO BAY AREA PAVEMENT MANAGEMENT SYSTEM
• ROUGHNESS LEVEL PROBABILITY PREDICTION USING ARTIFICIAL NEURAL NETWORKS
• UNIVERSAL PAVEMENT DISTRESS EVALUATOR BASED ON FUZZY SETS
• USE OF PAVEMENT MANAGEMENT SYSTEM DATA FOR PAVEMENT ENGINEERING APPLICATIONS