00728480

Component

https://doi.org/10.3141/1536-01

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

The feasibility of two methods for evaluating and calibrating weigh-in-motion (WIM) systems is explored. The first method uses a combination of test trucks and vehicle simulation models. The computer model VESYM was used for the simulations. The models for the test trucks were calibrated using acceleration measurements on board the vehicles. Although, this approach does not allow calculation of the discrete value of the dynamic axle load over WIM sensors, it can be used effectively in establishing the extent of variation at a particular WIM site. This information leads to an effective WIM system calibration method. The second method for calibrating WIM systems compares static and dynamic axle loads of vehicles through automatic vehicle identification (AVI). The AVI facilities developed for the Heavy Vehicle Electronic License Plate project on the I-5 corridor was used for this purpose. The static axle load of AVI-equipped vehicles was obtained from the Oregon Department of Transportation for two sites, Woodburn southbound and Ashland northbound. The WIM load data were obtained from Lockheed IMS for all the AVI-equipped WIM systems on the I-5 corridor. The data were analyzed to match AVI numbers, dates, and times of weighing. Time limits for traveling between sites were established to ensure that trucks could not stop and load or unload cargo between sites. Errors were calculated as the percentage difference between WIM and static loads for individual axles and axle groups. Calibration factors were derived to minimize the residual sum of squares of the errors.

This paper appears in Transportation Research Record No. 1536, Traffic and Pavement Surface Monitoring Issues.

English

p. 1-11

1996

Transportation Research Record

0309059089

Figures (8) ; References (5) ; Tables (6)

Acceleration (Mechanics); Automatic vehicle identification; Axle load force; Calibration; Dynamic loads; Errors; Simulation; Static loads; Test vehicles; Weigh in motion

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

TRIS, TRB

Nov 25 1996 12:00AM

• CALIBRATING ROAD ROUGHNESS METERS IN DEVELOPING COUNTRIES
• COMPARISON OF ROAD PROFILERS
• CONSIDERATIONS FOR DESIGNING COMMERCIAL VEHICLE MONITORING FACILITIES
• DEVELOPMENT OF AUTOMATED ALGORITHMS FOR PAVEMENT CONDITION SURVEY
• DEVELOPMENT OF AUTOMATED ROAD INSPECTION VEHICLE FOR NONDESTRUCTIVE EVALUATION OF ROAD SURFACE CONDITION
• DEVELOPMENT OF INTEGRATED TRAFFIC MONITORING SYSTEM FOR DELAWARE
• DEVELOPMENT OF PORTABLE TESTER FOR MEASURING SKID RESISTANCE AND ITS SPEED DEPENDENCY ON PAVEMENT SURFACES
• ESTIMATION OF RIDEABILITY BY ANALYZING LONGITUDINAL ROAD PROFILE
• EVALUATION OF VIDEOWINDOWS PHOTOLOG LASER VIDEODISC VIEWING SYSTEM
• EXPERIMENTING WITH RECOGNITION ACCELERATOR FOR PAVEMENT DISTRESS IDENTIFICATION
• FIBER OPTICS FOR EVALUATION OF PAVEMENT REINFORCEMENT MATERIALS IN RESISTING REFLECTION CRACKING
• INVESTIGATION OF BONDING MATERIALS FOR TRAFFIC MONITORING EQUIPMENT: PROPERTIES OF SELECTED FORMULATED MATERIALS
• PERFORMANCE OF FLEXIBLE AND RIGID PAVEMENTS IN OHIO
• PROCEDURE TO ESTIMATE LOADING FROM WEIGH-IN-MOTION DATA
• STUDY OF AIRCRAFT ACCIDENT RELATED TO ASPHALT RUNWAY SKID RESISTANCE
• SURVEY OF STATE PRACTICES TO CONTROL SKID RESISTANCE ON HOT-MIX ASPHALT CONCRETE PAVEMENTS
• USE AND EFFECTS OF STUDDED TIRES ON OREGON PAVEMENTS
• USING THE INTERNATIONAL ROUGHNESS INDEX FOR PROFILOGRAPH TRACE REDUCTION
• VEHICLE TRACTION PERFORMANCE ON SNOWY AND ICY SURFACES
• WEIGH-IN-MOTION DATA QUALITY ASSURANCE BASED ON 3-S2 STEERING AXLE LOAD ANALYSIS