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    <title>Transport Research International Documentation (TRID)</title>
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Transport Research International Documentation (TRID)</title>
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      <title>Improved Ultrasonic Inspection and Assessment Methods for Pipeline Girth Welds and Repair Welds</title>
      <link>https://trid.trb.org/View/1485404</link>
      <description><![CDATA[This report presents results from a project that extends previous EWI work to include an evaluation of the emerging phased-array (PA) automated ultrasonic testing (AUT) method and further assess the performance of AUT and PA AUT techniques to detect and size flaws in the current pipelines with a relatively wide range of wall thickness. During the course of this study, various imaging and data fusion (data-combining) techniques were evaluated to determine their effectiveness for improving flaw detection and sizing. The popular imaging techniques, as well as recent advancements that can be beneficial for girth weld inspection are explained in the report. The effort on the development of improved AUT imaging program is described. A methodology in representing PA UT inspection data in 3D has been investigated, and some promising results were found. Additionally, some of the filtering techniques that proved to be useful in real-work applications are also demonstrated. One other important aspect of this study was the use of ultrasonic modeling and simulations to evaluate the benefits and limitations of each AUT technique.]]></description>
      <pubDate>Tue, 24 Oct 2017 17:13:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/1485404</guid>
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      <title>Control methods for automated testing of preventive pedestrian protection systems</title>
      <link>https://trid.trb.org/View/1374429</link>
      <description><![CDATA[Preventive pedestrian protection systems have significant potential to reduce the number of accidents with pedestrian involvement. However, owing to their high complexity new test methods have to be developed. The new safety functions are validated by means of driving tests reproducing safety-critical traffic situations with pedestrian involvement on a testing ground. This paper presents new control methods for the automated testing of preventive pedestrian protection systems. These include new control algorithms for automated lateral and longitudinal vehicle guidance as well as two different concepts for motion control of a pedestrian dummy. The presented measurement results confirm that the developed methods enable highly accurate and reproducible driving tests.]]></description>
      <pubDate>Wed, 25 Nov 2015 09:14:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/1374429</guid>
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      <title>Development of Automated Testing Tools for Traffic Control Signals and Devices</title>
      <link>https://trid.trb.org/View/1214054</link>
      <description><![CDATA[Through a coordinated effort among the electrical engineering research team of the Florida State University (FSU) and key Florida Department of Transportation (FDOT) personnel, an automated testing system for National Electrical Manufacturers Association (NEMA) TS2 Type-1 Actuated Signal Controller (ASC) has been developed and constructed. The system developed consists of the following: A laptop with proper ports and software;, A Personal Computer Memory Card International Association (PCMCIA) card by Quatech; A device for the interface between an ASC and the Quatech card; A total of 20 automated testing programs covering all the functionalities of an ASC; An executable C# Windows Console application to execute all the automated testing programs: ASCAutoTester.exe; A user manual for the automated ASC testing system; and A compact disk (CD) containing all program codes and documents of the project.]]></description>
      <pubDate>Wed, 19 Sep 2012 16:16:30 GMT</pubDate>
      <guid>https://trid.trb.org/View/1214054</guid>
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      <title>Developing Artificial Neural Network Models to Automate Spectral Analysis of Surface Wave Method in Pavements</title>
      <link>https://trid.trb.org/View/908631</link>
      <description><![CDATA[The spectral analysis of surface waves (SASW) method is a nondestructive testing method of pavements based on the dispersive characteristic of seismic surface waves. The method can provide the thickness and stiffness of pavement layers. One of the more complex aspects of the SASW method is an iterative process to estimate the pavement parameters, called the inversion procedure. In this paper, the feasibility of completely automating the inversion process and substituting it with artificial neural network (ANN) models was explored. A number of different ANN models were developed using various ANN training strategies. To improve the performance of some ANN models, a sequential modeling technique was implemented. In the sequential modeling, some pavement parameters are estimated first from an initial set of ANN models, which is then the input to subsequent ANN models to estimate other parameters of interest. Furthermore, the performance of the ANN models was evaluated using a number of well-characterized pavement sections. The results illustrated that ANN models could estimate the upper layers' parameters so well that they could replace the inversion process. The ANN models for other layers were capable of generating robust initial estimates for a well-constrained formal inversion that can be readily automated.]]></description>
      <pubDate>Fri, 29 Jan 2010 07:13:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/908631</guid>
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      <title>An Interlaboratory Evaluation of Variability in the ASTM C 457 Linear Traverse Method</title>
      <link>https://trid.trb.org/View/782589</link>
      <description><![CDATA[The vital role of air entrainment in preventing freeze-thaw damage in concrete is well known and well documented (Powers, 1949).  Through the action of an air entraining agent added to fresh concrete, an air void system comprised of various microscopic voids is established.  There are several parameters of the air void system which are considered important indicators of freeze-thaw resistance.  Measuring these parameters and their adequacy provides extremely useful information on concrete freeze-thaw resistance.  This report documents the results of a round-robin study of the ASTM C 457 linear traverse method, which was initiated to assess the typical variability associated with the linear traverse test when performed by a human operator.  The round robin was performed as part of a national pooled-fund study, led by the Missouri Department of Transportation and sponsored by 13 states, entitled "Advanced Research...of a Fully Automated Image Analysis System."  The goal of the pooled-fund study was to refine and complete the development of a fully automated, computer-based linear traverse system, which could provide results equal to or better than those of a linear traverse performed by a human operator.  Thus, the round robin study was undertaken to assess accuracy and precision of a human-based linear traverse for which the automated system could be measured against.]]></description>
      <pubDate>Wed, 31 May 2006 09:51:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/782589</guid>
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      <title>New, Improved, Comprehensive, and Automated Driver's License Test and Vision Screening System</title>
      <link>https://trid.trb.org/View/760373</link>
      <description><![CDATA[This one-of-a-kind comprehensive study highlights the importance of automated testing techniques and the significance of vision screening measures other than standard visual acuity testing for assessing all drivers and, in particular, at-risk drivers and older drivers.  Non-automated tests tend to be subjective, time-consuming, costly, and heavily reliant on the experience of the examiner.  Due to the high collision, injury, and fatality rates of all drivers in the State of Arizona, and the disproportionate number of at-fault older drivers and collision risks in the States of Arizona and Florida, new and automated screening methodologies and vision standards are now needed to promote road safety, predict visual impairment, and evaluate possible restriction or confiscation of driver's licenses.  This study demonstrates that environmental factors and manner of collisions increase in collision involvement for drivers between ages 50 to 59 years in both Arizona and Florida.  Drivers age 80 to 89 years in both states are most likely at-fault in collisions compared to all other age cohorts.  These results are consistent among drivers cited for collision involvement due to visual defects.  These findings, which span an 11-year period from 1991 to 2001, not only apply to Arizona and Florida, two states with some of the largest proportions of older individuals in the United States, but, as a global survey of motor vehicle bureau directors or their representatives in the United States, Commonwealth of Puerto Rico, United Kingdom, Canada, New Zealand, and Australia illustrate, any state, country, province, territory, commonwealth, or nation with an increasing number of older drivers.  A pilot study, to follow, ultimately allows for the implementation of effective strategies for screening of visual impairment and eye disease in all Arizona drivers.  Snellen acuity, the most widely used vision testing measure, accounts for less than 0.1% of the visual field and fails to quantify contrast sensitivity and color vision (Fink and Sadun, 2004), two of several visual parameters needed for safe driving.  It is recommended that at-risk and older drivers in Arizona be tested for vision through a newly designed system of measures provided by two automated tests (to test vision condition and function) and one driving simulator (to assess eye status).  Hence, it is integrated into a larger system and additional recommendations are provided as these relate to motor vehicle operation skills and cognition.  These automated systems and methodologies may ultimately serve as a prototype of transportation license testing improvements for all other states, countries, and agencies (e.g., aviation, rail, maritime, commercial vehicles, etc.) to follow.  Such techniques may also reduce the incidence of fraudulent schemes and issuances of driver's licenses, commercial driver's licenses, and hazardous materials transportation licenses.]]></description>
      <pubDate>Thu, 09 Mar 2006 13:58:54 GMT</pubDate>
      <guid>https://trid.trb.org/View/760373</guid>
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      <title>PRODUCTION AND AUTOMATED TESTING OF CHRYSLER'S ENGINE CONTROL COMPUTER</title>
      <link>https://trid.trb.org/View/193698</link>
      <description><![CDATA[The four generations of Chrysler electronic engine controls are briefly described: Analog Spark Control Computer (SCC) as part of the Lean Burn System (introduced in 1976); custom analog version of the SCC; microprocessor-based Digital Spark Control Computer; and the 1980 Engine Control Computer for optimizing fuel economy and driveability and assisting in emission control.  The capabilities of the engine control computer have been greatly enhanced, and reliability has remained a key product feature.  The basic assembly operations involved in the manufacture of the computer-based products are described, including Chrysler's automated reliability testing program for its engine control computer.  In-process testing is accomplished by ten minicomputer-controlled test stations (three in-circuit, two pre-pot board level, two post-pot module level, two final module level at 85 degrees C, and one quality control audit).  A seven-hr. burn-in and a final functional test at 85 degrees C are performed, as well as various tests of audit samples selected from units to be shipped.  A central computer-based Real Time Operating System monitors the entire test complex, collects and stores data from on-line satellite computer test stations, and provides management information reports.]]></description>
      <pubDate>Mon, 30 Jan 1984 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/193698</guid>
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