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    <title>Transport Research International Documentation (TRID)</title>
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    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <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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      <link>https://trid.trb.org/</link>
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    <item>
      <title>Scheduling trucks in a time-space network of open-pit mines</title>
      <link>https://trid.trb.org/View/2659522</link>
      <description><![CDATA[This study investigates a truck scheduling problem in open-pit mines, where trucks transport raw coal and rock from electric shovels to unloading stations. The raw coal is used to produce commercial coal for sale, which requires a consistent calorific value between the mined raw coal and the blended commercial coal. Truck congestion significantly impacts work efficiency, so proper scheduling is necessary to prevent congestion and improve efficiency. We model the problem as a mixed-integer linear programming model using a time-space network to minimize the total operation time of all trucks. We design a column generation-based algorithm to solve the model, integrating state-reduction-based dynamic programming and machine learning to enhance efficiency. Effective inequalities are also incorporated to accelerate the solution process and improve computational performance. Experimental results show that, for small-scale instances, the proposed algorithm reduces solving time by 24% compared to CPLEX while maintaining solution quality. For large-scale instances, CPLEX fails to find an optimal solution within 1800 seconds, but the proposed algorithm consistently produces better solutions in a shorter time. Sensitivity analyses based on real data from an open-pit mine show that the variable speed mode improves truck transportation efficiency and reduces congestion compared to the constant speed mode. Our results also suggest that mine operators should carefully choose truck speed modes, and truck size combinations, as well as the distribution of unloading stations and shovels. Utilizing speed modes with more choices, higher maximum speeds, and suitable gradients, along with incorporating larger trucks into fleets, can reduce the total operation time of all trucks.]]></description>
      <pubDate>Thu, 30 Apr 2026 16:38:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2659522</guid>
    </item>
    <item>
      <title>Research on multi-task leakage identification methods for gas drainage pipeline</title>
      <link>https://trid.trb.org/View/2630749</link>
      <description><![CDATA[The gas drainage system functions as a crucial conduit for gas extraction. Precise and timely localization of leakage points and quantification of leakage volumes in gas drainage pipelines can substantially enhance drainage efficiency, and facilitate the clean utilization of gas resources. This study proposed a leakage identification method for gas drainage pipelines based on a multi-task learning model incorporating with RFECV-PKO-LightGBM. An experimental platform simulating gas drainage pipeline leakage was established based on the pipeline deformation similarity theory. Feature selection was performed using RFECV embedded with different base models, yielding four distinct multi-factor feature combinations. The R² prediction result of the SVM-RFECV feature combination for leakage point location was 0.936, and the accuracy rate of leakage volume identification was 97.05 %. All were superior to the results of other feature combinations. Feature set derived from the SVM-RFECV was selected as the optimal input for the leakage identification model. A PKO-LightGBM pipeline leakage identification model was developed. The results demonstrated that the RFECV-PKO-LightGBM model achieved Mean Absolute Error (MAE), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) values of 0.834, 3.113, and 5.029 %, respectively, for pipeline leakage localization. Additionally, the PKO-LightGBM model attained an accuracy of 97.05 % in identifying varying leakage volumes. The proposed model effectively integrates leakage localization and volume identification with high predictive accuracy and generalization capability, providing robust technical support for the safety monitoring of gas drainage pipelines.]]></description>
      <pubDate>Wed, 18 Feb 2026 13:22:46 GMT</pubDate>
      <guid>https://trid.trb.org/View/2630749</guid>
    </item>
    <item>
      <title>Experimental investigation on mechanical and fatigue characteristics of cement-treated coal mine overburden materials</title>
      <link>https://trid.trb.org/View/2643724</link>
      <description><![CDATA[Coal is the main energy source for producing electricity and the most commonly used fossil fuel globally. Significant waste is generated at every stage of the life cycle of coal, including mining, processing, and utilisation. Waste materials generated during open-cast coal mining are commonly termed overburden (OB). Because of low calcium oxide (CaO) content, natural binding cannot be anticipated in these wastes. Therefore, the current study aims to assess the effectiveness of cement-treated OB (CTOB) materials in the subbase or base layer of roads, which will address the concerns associated with depleting aggregates and waste disposal. For bound materials, the tensile characteristic is considered as an important parameter. In the present research tensile strength of CTOB mixes has been assessed through indirect tensile strength and four-point bending tests. The cyclic four-point bending and indirect tensile tests have also been conducted under a stress-controlled environment to evaluate the flexural modulus and indirect tensile resilient modulus of CTOB mixes. Additionally, the laboratory flexural fatigue life has been evaluated for CTOB mixes, and stress and strain-dependent flexural fatigue equations have also been proposed.]]></description>
      <pubDate>Mon, 26 Jan 2026 08:41:43 GMT</pubDate>
      <guid>https://trid.trb.org/View/2643724</guid>
    </item>
    <item>
      <title>Driving Behavior Decision-Making for Unmanned Monorail Cranes Based on Multisource Layering Perception Information</title>
      <link>https://trid.trb.org/View/2591435</link>
      <description><![CDATA[Monorail cranes (MCs) are the emerging transportation in the downhole and often work in dangerous deep confined spaces. To improve the safety production efficiency, a driving behavior decision-making method is proposed for unmanned MC. First, a multisource perception data layering method is presented. Based on the results of sensor performance testing in the downhole, an onboard perceptual platform is designed, and the sensor information are layered and integrated in a structured manner, considering the significance of different sensor information on safe driving. Second, a driving behavior decision-making framework for unmanned MCs is proposed. The decision-making objective and constraints are derived from the coal mine safety regulations, the MC driving manual, and the downhole testing results. This framework logic is novel in unmanned MC, which can achieve downhole driving by combining rule-based driving behavior decision-making and reactive one. The experiments in the heading area and the upper yard show that the proposed method increases the perception distance by 3.62x compared with that of remote driving and reduces the decision-making response time by 96%. MC has enough distance and time to slow down first until it has to brake. In contrast, this MC driving behavior is more stable and safe in the downhole.]]></description>
      <pubDate>Fri, 24 Oct 2025 16:53:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/2591435</guid>
    </item>
    <item>
      <title>Evaluation of Collapse Risk and Control Strategies for Tunnel Face in Steeply Inclined Coal Seam Goafs: A Case Study</title>
      <link>https://trid.trb.org/View/2561660</link>
      <description><![CDATA[Tunnel collapses are prone to occur when crossing through coal seam goafs. This study focuses on a real engineering case of a highway tunnel in southwestern China, comprehensively discussing the spatial location characteristics of the goafs and the associated risks that possibly lead to large-scale tunnel face collapse. The widespread distribution of goafs, with a dip angle reaching up to approximately 50∘, considerably weakens the stability of the surrounding rock mass. To assess the potential extent of large deformation collapse that occurs when tunnels cross through the coal seam goafs, the generalized interpolation material point method, a variant of the regular material point method, was adopted to simulate the entire collapse process of the tunnel face. The potential failure zones of the surrounding rocks and the collapse mechanisms of the tunnel face under different excavation methods and reinforcement measures were investigated. Numerical results illustrate the combination of advanced curtain grouting measures and the bench method for excavation yields the most notable effect in controlling the large deformation of the surrounding rock. These measures were subsequently applied to the actual project. During the construction phase, the tunnel successfully crossed the coal seam goafs without any tunnel face collapses, validating the effectiveness of the proposed control strategies and the robustness of the adopted numerical methods. This case study provides valuable insights for similar engineering projects, contributing to more informed risk analysis and the design of optimized construction strategies.]]></description>
      <pubDate>Tue, 29 Jul 2025 09:45:32 GMT</pubDate>
      <guid>https://trid.trb.org/View/2561660</guid>
    </item>
    <item>
      <title>Innovative ultrafine silica-based HFQSAD grouting materials applied for water blocking and reinforcing fractured rock mass in roadways with dispersed water spraying</title>
      <link>https://trid.trb.org/View/2550798</link>
      <description><![CDATA[Dispersed water spraying occurs at roof during the excavation of coal mine roadways. This reduces the load-bearing capacity of surrounding rocks and leads to fractures in the support structures, posing a significant challenge in coal mining. Grouting is a commonly used method to seal water-conducting fractures. Therefore, the work presented the development of a novel ultrafine silica-based high-fluidity quick-setting anti-aqueous dispersions (HFQSAD) grouting material for water blocking and reinforcing fractured rock mass. Additionally, an effective construction process was proposed for controlling dispersed water spraying at the roof of roadways. Results showed that ultrafine silica-based HFQSAD grouting materials had high fluidity, quick setting, strong anti-aqueous dispersion, and good durability. The optimal mixture ratio was determined based on fluidity, initial setting time, uniaxial compressive strength (UCS) at 3 days, and anti-aqueous dispersions. The formulation consisted of a water-cement ratio of 0.45, 0.45 % water reducer, 0.45 % accelerator, 0.2 % PAM, 0.7 % HPMC, and 1 % organosilicon defoamer. According to the independently developed model of dynamic water grouting, the grouting material could seal dynamic water channels and reinforce fractured rock mass. Finally, a new grouting construction process was proposed, utilizing the strategy of "first interception and then blocking for full section treatment" to address water spraying at the roof of the main belt roadway of the west wing in Shanxian Energy Coal Mine. This method could reduce water spraying by 95.2 %, which sealed dispersed water spraying at roof. The effectiveness and feasibility of the ultrafine silicon-based HFQSAD grouting materials and construction process in treating water spraying were confirmed.]]></description>
      <pubDate>Wed, 28 May 2025 10:11:33 GMT</pubDate>
      <guid>https://trid.trb.org/View/2550798</guid>
    </item>
    <item>
      <title>Hierarchical Coordinated Optimization and Energy Management Control for Plug-In Hybrid Electric Heavy-Duty Truck Platoon in Coal Mine Transportation System</title>
      <link>https://trid.trb.org/View/2543248</link>
      <description><![CDATA[Energy utilization and transportation scheduling efficiency are essential indicators of the coal mine transportation system. This paper aims to implement systematic control through hierarchical cooperative optimization control. A novel control framework containing system, platoon, and truck layers is proposed. First, a mixed integer non-linear programming model is established to address the coal mine platoon transportation path-planning problem. Secondly, the distributed non-linear model predictive control is used to realize the longitudinal control of platoon, and the alternating direction method of multipliers algorithm is utilized to obtain the desired speed under different unidirectional communication topologies. Then, a dynamic state of charge reference trajectory-based and adaptive equivalent factor-based deep deterministic policy gradient algorithm is proposed to distribute reasonably the power demand for plug-in hybrid electric heavy-duty truck. Finally, simulation results in real coal mine transportation scenarios show that the proposed framework can achieve fast and effective planning of transportation paths. The platoon layer meets the requirement of a secure and stable following under each unidirectional communication and improves fuel economy by 5.02%. The proposed energy management strategy at truck layer attains superior results in fuel economy improvement and overall driving cost reduction, achieving a level of global optimization akin to dynamic programming.]]></description>
      <pubDate>Tue, 27 May 2025 09:33:57 GMT</pubDate>
      <guid>https://trid.trb.org/View/2543248</guid>
    </item>
    <item>
      <title>Modern Methods for Investigating Sinkhole and Subsidence Risks Relating to Abandoned Underground Coal Mines</title>
      <link>https://trid.trb.org/View/2516737</link>
      <description><![CDATA[There are an estimated ~240,000 abandoned coal mines across the United States dating back to the early 18th century. Many of these mines are underground, and surrounding communities have developed homes, roads, utilities, and other infrastructure in the overlying areas. Every year, the supports of these mines continue to degrade, which can result in sudden subsidence or sinkhole events at the ground surface, damaging surface infrastructure and posing a safety risk to the public. How communities have investigated and mitigated these subsidence risks has varied dramatically over the past several decades (with mixed results) depending on available funding, technological advancements, and local knowledge. This paper presents lessons from analyzing the effectiveness of traditional investigative strategies used in the US state of Wyoming from the early 1980s to the present, and how modern methods (such as remote sensing) have been recently utilized to increase the effectiveness of recent projects in addressing these hazards.]]></description>
      <pubDate>Tue, 06 May 2025 16:40:48 GMT</pubDate>
      <guid>https://trid.trb.org/View/2516737</guid>
    </item>
    <item>
      <title>Mechanical Behavior of Mine Overburden Soil Stabilized Using Calcium-Based Stabilizer Used for Pavement Application</title>
      <link>https://trid.trb.org/View/2506166</link>
      <description><![CDATA[Mine overburden material (OBM) is the discarded soil–rock mixture, which is abundantly dumped around coal mines. These dumps create a lot of instability and environmental issues. The present study attempts to sustainably utilize the mine OBM in the construction of mine haul roads. Mine OBM is generally a soil–rock mixture with differently graded materials lacking the specific requirements for use in pavement subgrade. To utilize the OBM, stabilizers like lime and cement alone may not work due to the heterogeneity of the OBM. Hence, Road Building International (RBI) grade 81, a novel calcium-based stabilizer was used in this study to increase the mechanical properties of the soils, as it can stabilize various ranges of soils. The collected soils were silty sand (SM), intermediate compressible clay (CI), and clayey sand (SC), which possessed different plasticity characteristics. To assess the strength properties of modified mixtures, the California bearing ratio (CBR) and unconfined compressive strength (UCS) tests were conducted along with rutting resistance at different curing periods. The study shows that increasing RBI content enhances the soaked CBR values, with a peak of 135% for stabilized mixtures (SM) soil stabilized with 4% RBI. While the UCS values rose 16 to 18 times, reaching 1,355 kPa for intermediate compressive clay (CI) soil with 4% RBI. Wheel tracking tests demonstrated a 5 to 30-fold reduction in rut depth, dropping below 1.5 mm at 520 kPa stress, even at lower RBI levels for all composite mixtures. The use of RBI has proven to be effective in increasing the subgrade performance for all types of soils in OBM, while for CI soils it is more effective.]]></description>
      <pubDate>Thu, 13 Feb 2025 11:38:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/2506166</guid>
    </item>
    <item>
      <title>Research Progress on Key Technologies of Environmental Perception and Detection of Transport System in Goaf of Coal Mine</title>
      <link>https://trid.trb.org/View/2407613</link>
      <description><![CDATA[A large number of mined out areas have been formed after the continuous mining of minerals, resulting in many potential safety hazards. With the continuous development of artificial intelligence and machine learning in recent years, many researchers have put forward many creative ideas on the intellectualization of goaf transportation system. Lidar is widely used in three-dimensional imaging technology in recent years because of its advantages of small size, high accuracy, and fast imaging. This paper systematically summarizes the contributions and problems of researchers in recent years from three aspects: autonomous navigation of UAVs, point cloud processing, and radar accuracy improvement. The development direction of goaf detection technology in the future is summarized to provide a reference for the research in related fields.]]></description>
      <pubDate>Tue, 31 Dec 2024 09:04:28 GMT</pubDate>
      <guid>https://trid.trb.org/View/2407613</guid>
    </item>
    <item>
      <title>Quantitative evaluation of sprayability and sag resistance of thin spray-on liners with low CO2 emissions for replacing shotcrete to seal coal mine roadway</title>
      <link>https://trid.trb.org/View/2472100</link>
      <description><![CDATA[Shotcrete used for gas sealing of coal mine roadway is easy to crack during micro-movement and the heavy use of shotcrete consumes a large amount of cement increasing CO2 emission. Thin spray-on liners (TSLs) with high elongation at break, less material consumables and low CO2 emissions can replace shotcrete as a sealing material. Improving the fluidity of TSLs paste to obtain excellent sprayability is a prerequisite for applications, however it also results in poor sag resistance of the TSLs. The quantitative evaluation of sprayability and sag resistance of TSLs paste is an important condition to measure whether the above contradiction is alleviated. In this paper, the dispersion degree (∆S), spray velocity (K) and sag rate (∆V) of TSLs paste with different cement-to-polymer mass ratio (C/P) were measured by using self-made spraying equipment for the first time. The relationships between ∆S and apparent viscosity, K and dynamic yield stress, and ∆V and static yield stress are established. The results showed that the ∆S, K and ∆V were key parameters for quantitative evaluation of sprayability and sag resistance of TSLs paste. The contradiction between sag resistance and sprayability of TSLs paste was alleviated when C/P was 1.5. The TSLs paste had the best sag resistance at the C/P1.5, meanwhile ∆V was reduced by 53.5 % compared with the C/P was 0.75. Compared to the C/P1.75 with optimal sprayability, the K and ∆S were only reduced by 10.5 % and 11.9 % when the C/P was 1.5. The CO2 emissions of TSLs was 95 % lower than that of shotcrete at the C/P1.5.]]></description>
      <pubDate>Mon, 30 Dec 2024 11:16:01 GMT</pubDate>
      <guid>https://trid.trb.org/View/2472100</guid>
    </item>
    <item>
      <title>Usability, Habitability and Cab Performance in Heavy Surface Mining Trucks</title>
      <link>https://trid.trb.org/View/2408038</link>
      <description><![CDATA[A study is presented focusing on the set of variables associated with the link between cognitive aspects, usability and fatigue in the context of the safe operation of heavy vehicles in a surface coal mine, in order to understand how driving performance is affected and the reduction of perceptual activity capacity in the detection of tasks associated with driving. Method: A multi-method approach was used where human activity recognition (HAR) was incorporated to analyze data from different sensor sources to identify activity-related features of a person. The study was developed in a surface mine with the participation of 37 drivers with a mean age of 37.4 years (STDV. 9.6), the study covered a shift design of 12 h duration and in sequence 3 Day, 4 Night by three recovery shifts. Systematic observation sessions and data recording were carried out. Results: The various data recorded show that the usability possibilities of the cabins in terms of driver performance is closely related to the influence of aspects of geometry and composition of the cabs on the one hand and on the other hand with the cumulative effects of working time, i.e. it is not only to understand the impact of the 12-h shift and its effects on the modification of metabolic aspects and sleep hygiene of drivers, to explain the problem of driving performance, it must also consider an aspect that influences performance such as sleep debt.]]></description>
      <pubDate>Fri, 27 Dec 2024 15:28:00 GMT</pubDate>
      <guid>https://trid.trb.org/View/2408038</guid>
    </item>
    <item>
      <title>Optimizing aggregate grading and residual mortar coefficient in low-cement concrete by using crushed coal mine waste rock as base layers for low-traffic roads</title>
      <link>https://trid.trb.org/View/2438477</link>
      <description><![CDATA[In the context of depleting natural resources and environmental challenges posed by large-scale extraction and use of natural aggregates, this study investigates the use of crushed coal mine waste rock (CCMWR) as a sustainable alternative for low-cement concrete in the base layers of low-traffic roads. The primary goal is to optimize the aggregate grading and the residual mortar coefficient (RMC) to enhance the performance and durability of low-cement concrete. Utilizing the I-optimal design methodology and curve of Fuller for particle size distribution, this research evaluates the mechanical properties, workability, and environmental impact of incorporating CCMWR in low-cement concrete. The findings demonstrate that with the appropriate optimization, CCMWR can effectively replace natural aggregates, significantly reducing the ecological footprint and providing an effective solution for sustainable road construction. This research holds substantial engineering application significance by offering an innovative approach to classify and reuse waste from the coal mining industry while addressing the urgent need for sustainable infrastructure development.]]></description>
      <pubDate>Tue, 22 Oct 2024 17:11:45 GMT</pubDate>
      <guid>https://trid.trb.org/View/2438477</guid>
    </item>
    <item>
      <title>Failure mechanism analysis and support strength determination of deep coal mine roadways – A case study</title>
      <link>https://trid.trb.org/View/2416220</link>
      <description><![CDATA[In order to solve the problems related to deformations, failures, and difficulties in support controls of deep coal mine roadways, the typical failure forms and characteristics of deep coal mine roadways were investigated and analyzed in this study. The distribution laws of plastic zones of circular roadways under different lateral pressure coefficients were expounded using a theoretical analysis method, and the influence of plastic zone scopes on the failure forms of roadways was explained. In addition, considering the distribution characteristics of plastic zones, a calculation method of the required support strength based on the plastic zone scopes was proposed. The primary and secondary factors affecting the support strength were then determined. A numerical simulation method was applied in order to analyze the distribution characteristics of the displacements and plastic zones of deep mine circular roadways under the conditions of no support scheme, an existing support scheme, and a support scheme determined by the proposed support strength calculation method (referred to in this study as the optimized support scheme), respectively. The simulation results showed that the support effects of the optimized support scheme were superior to those of the existing support scheme, and thereby more conducive to maintaining roadway stability. In addition, an on-site engineering test method was used to identify support schemes for bolting and shotcrete with wire mesh + concrete-filled steel tubular supports based on the plastic zone scopes and the support strength of roadways in order to determine the support parameters. As indicated by the field monitoring results, the proposed support strength calculation method and optimized support scheme had shown the ability to effectively control the large deformations of the tested roadway, and thereby guarantee its overall stability.]]></description>
      <pubDate>Fri, 06 Sep 2024 16:58:27 GMT</pubDate>
      <guid>https://trid.trb.org/View/2416220</guid>
    </item>
    <item>
      <title>Manufacturing Artificial Aggregates from Overburden Coal Mine Waste and Their Properties for Pavement Applications</title>
      <link>https://trid.trb.org/View/2368019</link>
      <description><![CDATA[Owing to a severe shortage of natural aggregates in terms of quantity and quality, alternative aggregate resources must be utilized in civil engineering construction to meet significant increase in aggregate demand. This study focuses on manufacturing artificial aggregates for pavement applications using two waste materials- mine overburden waste from the coal mining industry and fly ash from thermal power plants. Liquid alkali activator, a mixture of sodium silicate and sodium hydroxide, is used as a binder. The centrifugal forces generated due to a rotating disc pelletizer enables mixing the said components resulting in formation of spherical-shaped pellets. The nucleated pellets are oven cured at 70°C for 7 days. Based on extensive laboratory test trials, the optimal features to produce competent aggregates in terms of angle and revolution speed of the disc pelletizer, dosage of the liquid alkali activator and the concentration of the NaOH are proposed. Finally, the manufactured aggregates are tested for properties relevant to flexible pavement applications. The aggregate impact and Los Angeles abrasion values are found to be 17% and 21.6%, indicating satisfactory resistance to impact and abrasion of aggregate particles under traffic loads. The basic material properties of these aggregates are found to conform to the Indian Roads Congress (IRC) and American Association of State Highway and Transportation Officials (AASHTO) standards for base and subbase layers. Moreover, base/subbase layers prepared with artificial aggregates and mine waste showed high California bearing ratio (CBR) of 54.3% and 80.5% for 2.5 mm and 5.0 mm penetration of the plunger, respectively, indicating high load-bearing capacity of pavement layers.]]></description>
      <pubDate>Thu, 06 Jun 2024 15:31:42 GMT</pubDate>
      <guid>https://trid.trb.org/View/2368019</guid>
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