Analysis and Evaluation of Weigh-in-motion Data
Author: Javier Vega Sánchez
Publisher:
Published: 1998
Total Pages: 246
ISBN-13:
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Analysis and Evaluation of Weigh-in-motion Data for Pavement Application
Author: Rosa L. Santoni Santiago
Publisher:
Published: 1993
Total Pages:
ISBN-13:
DOWNLOAD EBOOKPortable Weigh-in-motion System Evaluation
Author:
Publisher:
Published: 2015
Total Pages: 43
ISBN-13:
DOWNLOAD EBOOKThe Minnesota Local Road Research Board, MnDOT, and SRF performed an evaluation of a portable weigh-inmotion (WIM) system at several locations throughout Minnesota. The system was developed at the University of Minnesota-Duluth and offers roadway designers a low-cost method for obtaining vehicle load distribution data across the state's road network. To deploy the system, the weigh pads of the system were temporarily affixed sensors across the roadway lanes. As vehicles passed over the weigh pads, pressure sensors within the pads detected the weight of vehicles and the system recorded the data for later analysis. Traditional methods for travel monitoring generate traffic volume and classification data, but weigh-in-motion systems give designers a more accurate idea of current and projected traffic loading demands. SRF's testing provided implementation refinements that were incorporated into the system. During the two-year deployment process, the portable WIM system was installed under a wide array of environmental conditions to demonstrate the system's capabilities. Data generated by the system was analyzed. The Final Report details system deployment, calibration, and system accuracy.
Exploring Data Quality of Weigh-In-Motion Systems
Author:
Publisher:
Published: 2013
Total Pages: 151
ISBN-13:
DOWNLOAD EBOOKThis research focuses on the data quality control methods for evaluating the performance of Weigh-In-Motion (WIM) systems on Oregon highways. This research identifies and develops a new methodology and algorithm to explore the accuracy of each station's weight and spacing data at a corridor level, and further implements the Statistical Process Control (SPC) method, finite mixture model, axle spacing error rating method, and data flag method in published research to examine the soundness of WIM systems. This research employs the historical WIM data to analyze sensor health and compares the evaluation results of the methods. The results suggest the new triangulation method identified most possible WIM malfunctions that other methods sensed, and this method unprecedentedly monitors the process behavior with controls of time and meteorological variables. The SPC method appeared superior in differentiating between sensor noises and sensor errors or drifts, but it drew wrong conclusions when accurate WIM data reference was absent. The axle spacing error rating method cannot check the essential weight data in special cases, but reliable loop sensor evaluation results were arrived at by employing this multiple linear regression model. The results of the data flag method and the finite mixed model results were not accurate, thus they could be used as additional tools to complement the data quality evaluation results. Overall, these data quality analysis results are the valuable sources for examining the early detection of system malfunctions, sensor drift, etc., and allow the WIM operators to correct the situation on time before large amounts of measurement are lost.
WIM Data Collection and Analysis
Author: Jerry G. Pigman
Publisher:
Published: 2013
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKThe objectives of this study were to review and analyze current procedures in order to implement a process for collecting and analyzing weigh-in-motion (WIM) data to insure an adequate and accurate representation of weights of vehicles using Kentucky's roadways. A literature review of WIM data collection equipment, practices and procedures indicated that a range of options are available and used by other agencies. Piezoelectric cable detection systems were most frequently used and provided adequate accuracy, if attention is given to monitoring and calibration. An overall assessment of Kentucky's WIM data collection program resulted in recommendations for: 1) increased use of cell modems for more efficient data download, 2) attention to quality control of data with a routine program of polling sites and monitoring consistency of front-axle weights, 3) expansion of WIM data collection program to capture a wider range of functional class coverage of truck traffic, 4) attention to weight data collection on coal-hauling routes, 5) consideration of using static weigh station data to increase coverage of truck weight monitoring, 6) initiation of a data collection plan to capture sufficient data to develop length-based classification factors, 7) continued review and evaluation of new software that has the capability of increasing the efficiency and accuracy of WIM data processing, and 8) evaluation of the cost-effectiveness of expanded and accurate WIM data collection and the impact on pavement thickness designs.
WIM Data Collection and Analysis
Author: J.G. Pigman
Publisher:
Published: 2013
Total Pages: 49
ISBN-13:
DOWNLOAD EBOOKThe objectives of this study were to review and analyze current procedures in order to implement a process for collecting and analyzing weigh-in-motion (WIM) data to insure an adequate and accurate representation of weights of vehicles using Kentucky's roadways. A literature review of WIM data collection equipment, practices and procedures indicated that a range of options are available and used by other agencies. Piezoelectric cable detection systems were most frequently used and provided adequate accuracy, if attention is given to monitoring and calibration. An overall assessment of Kentucky's WIM data collection program resulted in recommendations for: 1) increased use of cell modems for more efficient data download, 2) attention to quality control of data with a routine program of polling sites and monitoring consistency of front-axle weights, 3) expansion of WIM data collection program to capture a wider range of functional class coverage of truck traffic, 4) attention to weight data collection on coal-hauling routes, 5) consideration of using static weigh station data to increase coverage of truck weight monitoring, 6) initiation of a data collection plan to capture sufficient data to develop length-based classification factors, 7) continued review and evaluation of new software that has the capability of increasing the efficiency and accuracy of WIM data processing, and 8) evaluation of the cost-effectiveness of expanded and accurate WIM data collection and the impact on pavement thickness designs.
Evaluation of a Weigh-in-motion System
Author:
Publisher:
Published: 1989
Total Pages: 14
ISBN-13:
DOWNLOAD EBOOKThe analysis presented in this paper deals with accuracy of a weigh-in-motion (WIM) system installed on the Trans Canada Highway west of Regina. Spot speed data collected by the WIM are compared with the measurements taken by a radar meter; the WIM data on axle spacing are compared with data obtained by manual measurements; and the dynamic weight data gathered by the WIM system are evaluated against static weights. The following conclusions can be made from this study : The WIM system under investigation provides accurate data for spot speed and axle spacing. The study data for eighty nine trucks indicate that the dynamic weights recorded by the WIM system may contain high magnitudes of both systematic and ramdom errors. However, the results of analysis presented suggest that a proper calibration of the system can reduce the systematic errors to a large extent. For the covering abstract of this Conference see IRRD abstract number 853851.
Evaluation of the Bridge Weigh-in-motion System
Author:
Publisher:
Published: 1985
Total Pages: 96
ISBN-13:
DOWNLOAD EBOOKThis demonstration project allowed Wisconsin Dept. of Transportation to test the overall performance of Bridge weigh in motion equipment as well as develop an entirely new comprehensive and representative truck weight database.
Evaluation of Piezoelectric Weigh-in-motion System
Author:
Publisher:
Published: 1994
Total Pages: 5
ISBN-13:
DOWNLOAD EBOOKThe analysis presented deals with the accuracy of a piezoelectric weigh-in-motion system installed on Interstate 19 in the state of Oregon. Axle weights for 5-axle tractor semi-trailer trucks were measured by the piezoelectric weigh-in-motion system and then compared with the static weights. An analysis of variance and Dunnett's test were conducted in order to determine if there existed a significant difference between data. The analysis showed no significant difference for steering axle and tandem axle weights. However, the analysis did indicate that a significant difference existed for trailing tandem.
Advanced Weigh-in-motion System for Weighing Vehicles at High Speed
Author:
Publisher:
Published: 1998
Total Pages: 28
ISBN-13:
DOWNLOAD EBOOKA state-of-the-art, Advanced Weigh-In-Motion (WIM) system has been designed, installed, and tested on the west bound side of Interstate I-75/I-40 near the Knox County Weigh Station. The project is a Cooperative Research and Development Agreement (CRADA) between Oak Ridge National Laboratory (ORNL) and International Road Dynamics, Inc. (IRD) sponsored by the Office of Uranium Programs, Facility and Technology Management Division of the Department of Energy under CRADA No. ORNL95-0364. ORNL, IRD, the Federal Highway Administration, the Tennessee Department of Safety and the Tennessee Department of Transportation have developed a National High Speed WIM Test Facility for test and evaluation of high-speed WIM systems. The WIM system under evaluation includes a Single Load Cell WIM scale system supplied and installed by IRD. ORNL developed a stand-alone, custom data acquisition system, which acquires the raw signals from IRD's in-ground single load cell transducers. Under a separate contract with the Federal Highway Administration, ORNL designed and constructed a laboratory scale house for data collection, analysis and algorithm development. An initial advanced weight-determining algorithm has been developed. The new advanced WIM system provides improved accuracy and can reduce overall system variability by up to 30% over the existing high accuracy commercial WIM system.
