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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>Interlayer Mixture Design</title>
      <link>https://trid.trb.org/View/2339984</link>
      <description><![CDATA[The purpose of this research was to develop a simple alternative to flexural fatigue testing for ensuring the fatigue performance of Interlayer Mixture Designs (IMOs) in Wisconsin. The research approach   involved producing 15 different mixtures and characterizing these mixtures using the CT index as determined from the ideal CT test, and characterizing the binders used in the mixtures with a variety of tests related to fatigue performance. Using the data produced with these tests, statistical analyses were performed to develop an accurate and simple model that could serve as a basis for a revised, simpler IMO fatigue specification. The final proposed IMO fatigue specification requires a minimum CT index of 140 at 20°C, a maximum binder low temperature grade of -34°C, and a minimum elastic recovery that depends on the non-recoverable creep compliance as determined in AASHTO M 332. The proposed IMO fatigue specification requires no new binder tests and replaces flexural fatigue testing with the much simpler and less expensive IDEAL-CT. There should be no major barriers to implementation.]]></description>
      <pubDate>Tue, 20 Feb 2024 15:53:24 GMT</pubDate>
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      <title>Hotspots identification and ranking for road safety improvement: An alternative approach</title>
      <link>https://trid.trb.org/View/1278313</link>
      <description><![CDATA[During the last decade, the concept of composite performance index, brought from economic and business statistics, has become a popular practice in the field of road safety, namely for the identification and classification of worst performing areas or time slots also known as hotspots. The overall quality of a composite index depends upon the complexity of phenomena of interest as well as the relevance of the methodological approach used to aggregate the various indicators into a single composite index. However, current aggregation methods used to estimate the composite road safety performance index suffer from various deficiencies at both the theoretical and operational level; these include the correlation and compensability between indicators, the weighting of the indicators as well as their high “degree of freedom” which enables one to readily manipulate them to produce desired outcomes (Munda and Nardo, 2003, 2005, 2009). The objective of this study is to contribute to the ongoing research effort on the estimation of road safety composite index for hotspots’ identification and ranking. The aggregation method for constructing the composite road safety performance index introduced in this paper, strives to minimize the aforementioned deficiencies of the current approaches. Furthermore, this new method can be viewed as an intelligent decision support system for road safety performance evaluation, in order to prioritize interventions for road safety improvement.]]></description>
      <pubDate>Mon, 23 Dec 2013 07:52:06 GMT</pubDate>
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      <title>WHAT IS RED LIGHT RUNNING? A CASE STUDY FROM RHODE ISLAND</title>
      <link>https://trid.trb.org/View/646255</link>
      <description><![CDATA[The goal of the project was to determine the severity of red light running in Rhode Island. Central to the data capture process was the use of specialized portable video camera set-ups, which captured views of every approach with one camera. Signal phasing was captured simultaneously by linking to the signal controller. The audio data were transmitted using wireless technology. Twenty intersections were viewed throughout the state, ranging from rural to urban settings. For the twenty intersections viewed, there were a total of 8,587 violations observed over a period of 1359 hours. This amounts to an average RLR violation rate of 6.3 violations/hr. For the individual intersections, the violation rates ranged from 1.2 to 15.0 per hour. The violations were also specified by the time that had elapsed in the red phase. From analysis of the data, there are intersections in Rhode Island where RLR is a problem. A model was developed to prioritize intersections based on a Composite Intersection Index (CII), where the highest score indicated the most problematic intersection. The CII was based on a comprehensive set of variables including the following: (1) entering ADT (1000s of vehicles); (2) number of lanes entering the intersection; (3) RLR violation rate; (4) proportion of violations occurring after 1 second; (5) number of phases; and the (6) average approach speed (based on approach speed limits).]]></description>
      <pubDate>Thu, 19 Jun 2003 00:00:00 GMT</pubDate>
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