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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>BAE Systems Jacksonville Ship Repair—Shiplift Dry-Docking Complex</title>
      <link>https://trid.trb.org/View/2559521</link>
      <description><![CDATA[Currently, under final construction, the BAE Systems (BAE) Jacksonville Ship Repair (BAEJSR) is poised to revolutionize ship docking in Florida and globally with its groundbreaking ship lift system, one of the world’s largest, boasting a remarkable lifting capacity. Amidst an ambitious expansion initiative totaling over $200 million, BAE’s latest endeavor involves the establishment of a state-of-the-art vertical ship lift and dry-docking complex. This cutting-edge infrastructure enhancement aims to bolster the industrial capacity vital for national security and the sustained growth of the US and international maritime sectors.]]></description>
      <pubDate>Tue, 24 Jun 2025 15:24:09 GMT</pubDate>
      <guid>https://trid.trb.org/View/2559521</guid>
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      <title>A Market and Technology Assessment for Off-Road Vehicle &amp; Equipment Energy and Emissions Innovation</title>
      <link>https://trid.trb.org/View/2494855</link>
      <description><![CDATA[This report presents strategies to achieve sector-wide net-zero greenhouse gas (GHG) emissions in the off-road sector. The report characterizes the current information available about the off-road sector; identifies outcomes from key stakeholder engagement; outlines pathways to scale low- and net-zero emission fuels, energies, and technologies; strengthens the workforce; and expands complementary infrastructure.  Strategies include: (1) maximize the number of internal combustion engine (ICE)-powered equipment that can be affordably replaced by battery electric equipment (BEE) that still meets customer needs; (2) enable transition to hydrogen as the fuel source where practical; and (3) reduce overall fuel consumption by efficiency improvements for machinery and operations that still require high-energy-density liquid fuels.]]></description>
      <pubDate>Tue, 28 Jan 2025 09:17:36 GMT</pubDate>
      <guid>https://trid.trb.org/View/2494855</guid>
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      <title>Investigation of dry environment construction equipment's medium displacement system for submarine pipelines</title>
      <link>https://trid.trb.org/View/2354269</link>
      <description><![CDATA[Innovative underwater pipeline repair and inspection technologies utilising a dry chamber represent a novel approach. This technique involves injecting high-pressure air into a chamber to displace the surrounding medium. However, sealing becomes very challenging owing to the irregularity of the sealing surface, and diver operations pose significant risks at high gas pressures. This study presents a novel design that integrates inflation and drainage methods. It employs an air compressor for chamber inflation and submersible pumps, along with an air-operated diaphragm pump for water drainage. This system could effectively manage various degrees of leakage and maintain continuous drainage, thus establishing a normal pressure environment. Consequently, the sealing requirement is significantly reduced, and divers are allowed to perform multiple tasks within the chamber at atmospheric pressure. Furthermore, the inflation parameters were optimized during the inflation and drainage processes through a numerical method, and the designed system was validated via offshore experiments. The results indicated that the system could handle a leakage rate of 50 m³/h and maintain a dry chamber for at least 5 h.]]></description>
      <pubDate>Fri, 29 Mar 2024 10:16:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/2354269</guid>
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      <title>Transforming competition into synergy – rail grinding and milling</title>
      <link>https://trid.trb.org/View/2350618</link>
      <description><![CDATA[Rail maintenance is a strategic requirement as well as necessity to extend the life of rail (and track) for railway systems around the world. Several maintenance strategies (initial, preventive, cyclic-preventive, corrective and regenerative) can be combined with two major maintenance technologies – rail grinding and rail milling. Until today grinding and milling are often presented as competitive technologies, as the finished product, the treated rail, has similar if not the same properties / appearances. Nevertheless, both technologies have very specific characteristics and capabilities that provide an opportunity for mostly complementary application scenarios. Only a small application area remains where both technologies can provide equal capabilities thereby being in direct competition with each other. Consequently, it is not the question of using a specific maintenance technology but to ensure that strategically planned rail maintenance (combining the correct strategy with the most suitable technology) will support the infrastructure owner in operating a safe, cost effective and reliable railway system.]]></description>
      <pubDate>Fri, 08 Mar 2024 09:53:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/2350618</guid>
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      <title>Development of Guidelines for Vehicle and Equipment Marking and Lighting</title>
      <link>https://trid.trb.org/View/2325959</link>
      <description><![CDATA[This report presents proposed guidelines for vehicle and equipment color, marking, and lighting practices. Static and dynamic tests were conducted to measure the effects of alternative vehicle marking and warning light treatments on driver perception of workers on foot and of moving work vehicles fitted with the treatments. Testing was also conducted to measure the effects of the alternative treatments on driver lane choice and speed. These guidelines will particularly benefit state department of transportation (DOT) operations personnel by more effectively identifying and communicating their presence to nearby motorists.]]></description>
      <pubDate>Thu, 25 Jan 2024 13:11:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/2325959</guid>
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    <item>
      <title>Best Practices for Lighting and Marking Construction and Maintenance Vehicles and Equipment for Safety</title>
      <link>https://trid.trb.org/View/2310092</link>
      <description><![CDATA[The purpose of this document is to provide recommendations and guidelines that will help MDOT implement improved lighting and marking standards for both its own fleet of vehicles and equipment as well as the equipment and vehicles used by contractors on DOT projects in order to make roadways safer. The recommendation was based on (1) a qualitative systematic literature review; (2) data obtained from the DOT standards and/or provisions; (3) an analysis of the data and the literature findings.]]></description>
      <pubDate>Wed, 24 Jan 2024 16:55:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2310092</guid>
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    <item>
      <title>Active boom stabiliser of wheel loaders using optimum fuzzy controller</title>
      <link>https://trid.trb.org/View/1991506</link>
      <description><![CDATA[Wheel loaders are exposed to several disturbances while travelling from one location to another for material loading and unloading. Damping the introduced vibration disturbances on boom and bucket will increase the load handling efficiency and reduce working hazards. Therefore, this study presents a novel active boom control system with an optimized fuzzy logic controller (FLC) to attenuate boom oscillation. For cost-effective purposes, the fuzzy boom active controller utilizes the existing boom lifting electro-hydraulic component to attenuate boom oscillation without exceeding the actuator working limits. The designed FLC applies measurable and accessible system states as input variables while its structure, in terms of rule base and scaling factors, are optimized using particle swarm optimization (PSO). Numerical results showed that the proposed active fuzzy logic system effectively attenuates boom oscillations and bucket vertical vibrations compared to active systems with a proportional-integral-derivative controller (PID) and passive system. Test cases for several types of road disturbances and different driving speeds showed the proposed FLC controller's superior performance.]]></description>
      <pubDate>Mon, 26 Sep 2022 09:10:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/1991506</guid>
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    <item>
      <title>Study on effects of damping characteristics of base chassis suspension on operational safety of transport and handling machinery</title>
      <link>https://trid.trb.org/View/1749643</link>
      <description><![CDATA[Transport and handling machines (THM) based on truck chassis used for road construction and maintenance are high-risk vehicles due to their large weight and high location of the gravity center (Evtiukov et al. 2018, Kravchenko and Oleshchenko 2017, Repin et al. 2018). Design perfection and damping characteristics of THM base chassis suspension define the reliability of road/wheel contact in various road conditions and the stability of a vehicle on uneven roads and in turns. The article describes the design of a new hydraulic-pneumatic shock-absorber — a major suspension element responsible for its damping characteristics and presents the results of theoretical studies on elastic and vibration-damping properties of the shock-absorber.]]></description>
      <pubDate>Wed, 09 Dec 2020 12:02:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/1749643</guid>
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    <item>
      <title>Improving operational safety of transport and handling machinery based on automobile chassis by forming fleets of machinery with specific level of reliability</title>
      <link>https://trid.trb.org/View/1749642</link>
      <description><![CDATA[Transport and handling machinery based on automobile chassis used for construction and operation of roads represents a high risk. The operational safety of such technical systems is ensured by high requirements for their reliability. The article describes a method to form vehicle fleets based on reliability as well as technical and economic indicators.]]></description>
      <pubDate>Wed, 09 Dec 2020 12:02:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/1749642</guid>
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      <title>Utilization Management of Highway Operations Equipment</title>
      <link>https://trid.trb.org/View/1715524</link>
      <description><![CDATA[This paper presents fleet utilization management processes for highway operations equipment based on actual tracked and reported usage data obtained from transportation agencies. The objective is to minimize total fleet utilization costs, including operational, purchase, and relocation expenses that yield the optimal utilization values and fleet composition of specific equipment types within each region in a year. The framework includes utilization prediction and optimization models, rather than relying on pre-determined utilization thresholds in existing strategies, to avoid under-utilization, over-utilization, or both. The prediction models are structured using equipment explanatory variables with their significant contributing factors, for example, annual equipment usage, annual fuel cost, downtime hours, age, and class code, to predict operational costs. The optimization model is formulated as a set of mathematical formulations, with embedded predictive models, that minimizes the total costs of (i) keeping an asset in-service using predictive annual operational cost functions, (ii) purchasing new assets in a region in the following year, and (iii) relocating assets by capturing the distance between regions. The costs include equipment purchase, operation, maintenance, and transportation expenses. The proposed framework captures the remedial actions to balance under-/over-utilized assets in the fleet in a cost-efficient manner. The proposed methodology is applied to utilization management of a set of operations equipment, and the findings of the dump trucks are presented. Several scenarios are designed to analyze the sensitivity of the costs to various decisions and parameters. The numerical experiments reveal that the proposed framework can facilitate the utilization prediction and management of highway operations equipment and save up to 16.6% in operational costs considering different demand scenarios.]]></description>
      <pubDate>Thu, 25 Jun 2020 17:24:25 GMT</pubDate>
      <guid>https://trid.trb.org/View/1715524</guid>
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    <item>
      <title>Guide for the Formulation of Long-Range Plans and Budgets for Replacement of Highway Operations Equipment</title>
      <link>https://trid.trb.org/View/1673344</link>
      <description><![CDATA[The objective of this research is to develop a guide for the formulation of long-range plans and budgets for replacement of highway operations equipment. The guide shall include processes and tools for consideration in making investment decisions. For the purpose of this research, long-range is defined as 20-25 years.]]></description>
      <pubDate>Tue, 17 Dec 2019 12:20:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/1673344</guid>
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    <item>
      <title>Construction technology and quality control measures for expressway traffic safety facilities</title>
      <link>https://trid.trb.org/View/1663081</link>
      <description><![CDATA[Expressway traffic safety facilities are facilities and equipment ensuring expressway safety. In order to improve the construction technology and quality control performance of expressway traffic safety facilities, a construction quality control method for expressway traffic safety facilities based on parametric fusion tracking control and piecewise linear regression analysis of construction schedule is proposed. In this paper, the ANSYS software was adopted for model analysis to construct a constrained parameter model for construction quality control of an expressway traffic safety facility and a nonlinear constitutive relation model for safety facility construction. The construction technical parameters about the expressway traffic safety facility were designed optimally based on the construction strength, anti-collision ability and mechanics characteristics. The adaptive parameter fusion tracking method was adopted to establish an information management structure model for construction progress management of the expressway traffic safety facility and the model covered geometric information, physical information and capital investment. The big data analysis and piecewise linear regression analysis methods were used to optimally control the construction schedule of the expressway traffic safety facility. The simulation results show that in optimization and control of construction technology of the expressway traffic safety facility, the proposed method can improve construction quality and provide relatively good optimization ability of each parameter about construction quality description and relatively high process control quality. Therefore, this method can play a good guiding role in construction quality optimization of expressway traffic safety facilities.]]></description>
      <pubDate>Wed, 27 Nov 2019 10:38:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/1663081</guid>
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    <item>
      <title>Methods for formation of vehicle sets and determination of machinery requirements (a case study of Dushanbe)</title>
      <link>https://trid.trb.org/View/1577184</link>
      <description><![CDATA[A method for vehicle fleet renewal is proposed. A set of road machines is a collection, a group of road machines of road operation companies, performing road works, reconstruction of motor roads and urban improvement. Selection of sets of road machines for operation involves the determination of their appropriate composition and structure with the consideration of road operation companies’ requirements. Upon the development of a technical policy in road operation companies, it is necessary to consider progressive technological trends of the industry.]]></description>
      <pubDate>Wed, 06 Feb 2019 16:18:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/1577184</guid>
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    <item>
      <title>Optimal Replacement Cycles of Highway Operations Equipment</title>
      <link>https://trid.trb.org/View/1526490</link>
      <description><![CDATA[State highway agency equipment fleet assets are vital to the delivery of agency programs, projects, and services. A variety of practices have been used by highway agencies for deciding on the replacement cycles of highway operations equipment. However, there is no widely accepted process on which to base decisions. Therefore, there was a need to identify current practices, review relevant information, and develop rational processes to provide a realistic means for determining optimal replacement cycles. There was also need to prepare a guide for optimal replacement cycles to facilitate use of these processes.  This report provides both a handbook on equipment replacement concepts and an instruction manual for making cost-effective replacement decisions. The research report presents a process for determining replacement needs for highway operations equipment, identifying candidate equipment units for replacement, and preparing an annual equipment replacement program. The products include a guide and an Excel-based replacement optimization tool to support the equipment replacement process and facilitate its implementation. The guide is designed to help fleet managers determine optimal life cycles and implement systematic replacement processes supported by sound data-driven analysis. In this manner, the guide should help fleet managers determine replacement needs and prepare replacement budgets to provide a highway operations program with a high-quality and dependable fleet to support the agency’s mission. The information contained in the research report should be of interest to fleet managers and state maintenance engineers and to others involved in the replacement aspects of equipment fleet assets.]]></description>
      <pubDate>Tue, 24 Jul 2018 11:47:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/1526490</guid>
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    <item>
      <title>Collecting data on rail condition</title>
      <link>https://trid.trb.org/View/1492740</link>
      <description><![CDATA[Rectification of rail shape, mainly by rotating grinding, is an important item in track maintenance. Whatever the approach to this reprofiling, one aspect is well established. For maximum benefits, the operation must be related to rail condition. That link implies specific knowledge of the state of the rail. Information is required:  - on the network, for asset monitoring, budget allocation and planning  - on individual sites, for setting up track possessions Collecting data on rail condition is a topical subject. One contractor does it routinely with own-design equipment. It is interesting to see how this operation works out.]]></description>
      <pubDate>Wed, 20 Dec 2017 10:43:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/1492740</guid>
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