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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>U.S. Flight Delay in the 2000s: An Econometric Analysis</title>
      <link>https://trid.trb.org/View/1093510</link>
      <description><![CDATA[Many researchers have undergone to better understand, quantify, and improve operations of the National Airspace System (NAS). In this paper, a series of successively more complex econometric models relating average delay against schedule in the NAS to key causal factors including airport congestion, total traffic, and en route weather. The estimation results suggest that airport congestion, measured by arrival queuing delay, has been a major contributor to average delay (about 32%), but a model with one explanatory variable is inadequate to describe the reality of a system. Thus, along with traffic and weather conditions, the models also take into account the 10 airports with the worst on-time statistics in 2007. Results indicate that Newark International Airport (EWR), John F Kennedy International  (JFK), O'Hare International Airport (ORD), Philadelphia International Airport (PHL), and Charlotte Airport (CLT) are airports with a disproportionate large effect on system wide performance. LaGuardia Airport (LGA), interestingly, has a disproportionately small effect. Even with the above factors accounted for, seasonal and secular influences are significant. December, January, and February have the worst delays, while the several years after the 9/11 attacks decreased delay substantially. Such comparisons highlight the fact that statistically modeling of NAS performance is still limited both in terms of understanding and data.T]]></description>
      <pubDate>Mon, 18 Apr 2011 12:24:42 GMT</pubDate>
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      <title>Highway Capacity and Quality of Service 2007</title>
      <link>https://trid.trb.org/View/849788</link>
      <description><![CDATA[This collection of 14 papers addresses the subject of highway capacity and quality of service.  Specific topics discussed include the following:  reliability for highway capacity analysis; user perception of service quality of signalized intersections; approach capacity at signalized intersections; the impact of turning vehicles on pedestrian level of service at signalized intersections; approach delay at signalized intersections; relationship of lane width to saturation flow rate on signalized intersection approaches; headway acceptance of U-turning vehicles at unsignalized intersections; probabilistic analysis of "Highway Capacity Manual" models; driver behavior model of saturation flow; estimating truck equivalencies for freeways; errors in analyses for capacity and timing design of signalized intersections; arrival-based uniform delay model for exclusive protected-permitted left-turn lanes; travel time measurement using toll infrastructure; and freeway bottleneck capacity.]]></description>
      <pubDate>Tue, 26 Feb 2008 14:22:51 GMT</pubDate>
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      <title>In-Service Evaluation of Detection-Control System for Isolated High-Speed Signalized Intersections</title>
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      <description><![CDATA[An innovative detection–control system was developed for the Texas Department of Transportation to reduce both delay and crash frequency at rural intersections. This system was implemented at several intersections in Texas, and its safety and operational benefits were evaluated. This report documents findings and conclusions reached after a 3-year implementation project. The detection–control system was installed and evaluated at each of five intersections in Texas during the 3-year period. Evaluation of before-and-after data indicates that the new detection– control system was able to reduce approach delay by 14%, stop frequency by 9%, red light violations by 58%, heavy-vehicle red light violations by 80%, and severe crash frequency by 39%.]]></description>
      <pubDate>Fri, 03 Mar 2006 10:37:51 GMT</pubDate>
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