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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>A Network of Small-Sized Meteorological Radar Stations for the National Transport System</title>
      <link>https://trid.trb.org/View/1910316</link>
      <description><![CDATA[The features of building a network of autonomous meteorological stations based on small-sized meteorological radar stations to increase the efficiency of the country’s transport system are considered. The features of building such networks, taking into account the geographical, climatic, and infrastructural conditions of Siberia, are regarded. The main characteristics of a small-sized meteorological radar are presented. The options for building a network from the point of view of receiving, processing, storing, and transmitting information are offered.]]></description>
      <pubDate>Sun, 24 Apr 2022 17:29:57 GMT</pubDate>
      <guid>https://trid.trb.org/View/1910316</guid>
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      <title>The Utilisation of Pisang Island as a Platform to Support the Current Safety and Security Needs of Marine Navigation in the Straits of Malacca</title>
      <link>https://trid.trb.org/View/1488334</link>
      <description><![CDATA[Current marine navigational practice relies less on long-range visual marine signals such as lighthouses for reference purposes. This is due to the availability of Global Navigation Satellite Systems (GNSS), which are integrated with other navigational aids on ships. Therefore, the objective of this study is to review the function of Pisang Island lighthouse and to propose the most relevant use of Pisang Island for current navigational needs. The function of the lighthouse was reviewed according to the IALA Navigational Guide and the AIS data image. The result showed that the most suitable navigational use of the lighthouse is to act as a reference for Line of Position (LOP). The AIS data image indicated that mariners are not using Pisang Island lighthouse for LOP. The trend in the Straits of Malacca (SoM) was compared with the trend in the Straits of Dover, UK. The selected experts verified that LOP was not practised there. As a specific example, a tanker ship route in the South China Sea was used to further support that LOP was not practised. This evidence supported the view that Pisang Island lighthouse is less relevant for current navigational practice and does not directly support the coastal state VTS operation and the establishment of the marine electronic highway. Furthermore, the existing shore-based VTS radar has limitations on range and the detection of targets near Pisang Island. Therefore, this study proposes the establishment of a new radar station on Pisang Island at the existing site of the lighthouse. The proposed new radar station on Pisang Island will add to the existing coverage of the VTS radar, bridging the coverage gaps to overcome the weakness of the existing shore-based radar and improve the safety and security of marine navigation in the SoM.]]></description>
      <pubDate>Fri, 01 Dec 2017 09:27:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/1488334</guid>
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    <item>
      <title>Using LIDAR to Validate the Performance of Vehicle Classification Stations</title>
      <link>https://trid.trb.org/View/1375444</link>
      <description><![CDATA[Vehicle classification is an important traffic parameter for transportation planning and infrastructure management. Vehicle classification stations depend on accurate calibration and validation to yield meaningful results. Operating agencies spend millions of dollars to deploy vehicle classification stations to collect classified count data, yet very few of these stations are ever subjected to a rigorous performance evaluation to ensure that they are reporting accurate data. To date such performance monitoring has been prohibitively labor intensive and prone to human error. To address this problem the authors develop a classification performance monitoring system to all operating agencies to rapidly assess the health of their classification stations on a per vehicle basis. They eliminate most of the labor demands and instead deploy a portable nonintrusive vehicle classification system (PNVCS) to classify vehicles, concurrent with an existing classification station. This article uses a LIDAR-based PNVCS but their approach is compatible with many other PNVCSs. The processing requires several intermediate steps, developed herein, including synchronizing the independent clocks and matching observations of a given vehicle between the two classification systems. The performance monitoring methodology automatically compares the vehicle classification between the existing classification station and the PNVCS for each vehicle. If the two classification systems agree, the given vehicle is automatically taken as a success. A human only looks at the vehicle when the two systems disagree, and for this task the authors have developed tools to semi-automate the manual validation process, greatly increasing the efficiency and accuracy of the human user. Thus, the PNVCS must be accurate enough to be used as a baseline, as verified herein. The methodology is applied to over 21,000 vehicles from several permanent and temporary vehicle classification stations to evaluate the performance of axle and length-based classification stations. The automated process does the bulk of the work, with only 8% of the vehicles requiring manual intervention. The user typically spent 3–5 seconds per vehicle reviewed, translating into only a few minutes to process the exceptions from all lanes over 1 hour of data. This approach offers a cost-effective solution to ensure that classification stations are providing accurate data, and for permanent classification stations the additional labor is a fraction of the cost to deploy the station in the first place.]]></description>
      <pubDate>Tue, 24 Nov 2015 09:29:31 GMT</pubDate>
      <guid>https://trid.trb.org/View/1375444</guid>
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    <item>
      <title>A Simulation Environment for Modelling and Analysis of the Distribution of Shore Observatory Stations - Preliminary Results</title>
      <link>https://trid.trb.org/View/1264035</link>
      <description><![CDATA[This paper presents uses mathematical theory to evaluate the possibility of object detection by monitoring radar stations. The level of object detection allows for the effortless conversion to an optimisation problem of the monitored area coverage. Development of such a task enables distribution of observatory stations that maintain a higher detection rate than the assumed value. An appropriate rate level is achieved by covering the analysed set of points with a sufficient number of radar stations. Combining evidence allows for the calculating of corresponding parameters for each set of observing equipment.]]></description>
      <pubDate>Mon, 28 Oct 2013 09:47:14 GMT</pubDate>
      <guid>https://trid.trb.org/View/1264035</guid>
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    <item>
      <title>Trial train operation control against gusts using meteorological radars</title>
      <link>https://trid.trb.org/View/879485</link>
      <description><![CDATA[]]></description>
      <pubDate>Wed, 28 Jan 2009 08:12:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/879485</guid>
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    <item>
      <title>Simulation Model of Logistic Support to Isolated Airspace Surveillance Radar Stations</title>
      <link>https://trid.trb.org/View/863649</link>
      <description><![CDATA[This paper describes development of a simulation model of the radar network operation of 5 military radar stations. Simulation was performed in GPSS language and contains the time of operation of 5 radars through a period of 1 year, time of planned preventive maintenance, irregularities, time of corrective maintenance, and maintenance team(s). The simulation shows the influence of the number of maintenance teams on the availability of each radar and presents a good orienting point for defining the optimal model of preventive and corrective maintenance of the radar network.]]></description>
      <pubDate>Thu, 17 Jul 2008 09:23:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/863649</guid>
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      <title>RADAR STATION EVALUATION REPORT, HOLLOMAN AFB, NEW MEXICO, 8-27 SEPTEMBER/7-15 OCTOBER 76</title>
      <link>https://trid.trb.org/View/48912</link>
      <description><![CDATA[This traffic control and landing systems (TRACALS) radar station evaluation report presents data collected to define the capabilities and limitations of the radar approach control (RAPCON) facility at Holloman AFB, New Mexico. The data presented in this report were collected during two evaluation periods; 8 through 27 September 1976, and 7 through 15 October 1976. The RAPCON facility is comprised of AN/FPN-47 airport surveillance radar (ASR), AN/TPX-42 (A)V Type III air traffic control radar beacon system (ATCRBS), AN/FPN-16 precision approach radar (PAR), and associated power and communications systems. This report includes descriptions of the useable radar coverage, the radar coverage diagrams, the ATCRBS coverage and tracking capabilities, the analysis of flight and equipment performance data, and the performance predictions for the ASR, ATCRBS, and PAR systems. The data presented in this report are a guide for anticipated equipment performance until there is an addition, deletion, or relocation of equipment, or until a change occurs in the horizontal profile. (Author)]]></description>
      <pubDate>Tue, 31 May 1977 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/48912</guid>
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    <item>
      <title>MOBILE OCEAN BASING SYSTEMS: THE CONCRETE SEMI-SUBMERSIBLE PLATFORM</title>
      <link>https://trid.trb.org/View/13955</link>
      <description><![CDATA[A study was made to investigate the feasibility of substituting concrete for steel as the primary construction material in a self-propelled semi-submersible platform. Of the configurations considered, eleven were determined to meet all of the study design criteria. It is concluded that the concept is feasible provided that: a deck not exceeding 375 lbs per square foot dead weight is used, an underneath deck clearance of 30 to 40 feet above the mean water surface is acceptable, and columns and hulls (up to 60 feet in outside diameter) having a wall thickness not exceeding 2 feet are acceptable from considerations of formability and strength. The construction, assembly, launch and testing of a 1/10 scale model twin hull semi-submersible platform is also described. The model was constructed to verify the findings of the self-propelled platform feasibility study, to demonstrate the feasibility of assembling available concrete products into a platform, to evaluate construction techniques and to study means of linking platform modules together to form large platforms. (Author)]]></description>
      <pubDate>Tue, 12 Mar 1974 00:00:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/13955</guid>
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