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    <title>Research in Progress (RIP)</title>
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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>Research in Progress (RIP)</title>
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      <link>https://rip.trb.org/</link>
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    <item>
      <title>Feasibility Studies of the Conceptual Novel Elevated High-Speed Rail System with a Case Study in Texas</title>
      <link>https://rip.trb.org/View/2736754</link>
      <description><![CDATA[The high-speed rail system is a powerful rapid transportation tool with significant mobility, financial, and accessibility benefits. The United States is one of the first countries to develop high-speed trains, dating back to 1969. Recently, there has been another wave of inventions and studies of high-speed rail systems, including the California and Texas high-speed rail plans. Among them, the conceptual novel elevated high-speed rail (CNE-HSR) is unique due to its (1) fast construction speed (3 miles per day); (2) elevated design that affords minimal ground field land needs and minimal disruption to existing infrastructure and property, and no displacement of existing communities; (3) independent pods for exclusively nonstop travel and flexible allocation between passenger and cargo needs; and (4) deep last-mile reach. This seed grant project will conduct feasibility studies of CNE-HSR with a case study in Texas along the Houston-San Antonio corridor. Transportation, land use, socioeconomic, and other information will be collected with the assistance of local transportation agencies. The retrieved information will be fully employed to test the identified assessment tools for studies of impacts on the regional economy, housing and real estate development, job market growth, as well as socioeconomic progress. The research team will conduct engagement activities to incorporate advisory comments from policymakers, planners, engineers, community leaders, and others. Eventually, this project will develop recommendations and implementation strategies for the evaluated CNE-HSR system in Texas.]]></description>
      <pubDate>Wed, 29 Jul 2026 14:42:33 GMT</pubDate>
      <guid>https://rip.trb.org/View/2736754</guid>
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    <item>
      <title>Flood-resilient Transport System Through Integrated Modeling, ML &amp; Immersive AR/VR </title>
      <link>https://rip.trb.org/View/2732359</link>
      <description><![CDATA[Extreme rainfall events increasingly disrupt urban transportation systems by overwhelming drainage infrastructure and causing localized road flooding that impedes last-mile freight delivery, delays emergency response, and disrupts the broader multimodal supply chain. These disruptions limit access to essential services, delay emergency response, and threaten public safety. Building on the research team's previously developed framework (F25-26), this project advances a data-driven approach for high-resolution prediction of urban road flooding in Jackson, Mississippi, integrating geospatial databases, process-based H-H modeling (aligning with rigorous U.S. Army ERDC methodologies), and machine learning (ML) and artificial intelligence (AI) techniques to identify flood-prone road and railway segments. The ML-based surrogate models will maintain computational efficiency, enable timely identification of vulnerable transportation networks, and support emergency response by feeding into JSU Water Lab’s broader web-based-visualization interfaces. This project introduces an interactive K–12 STEM module, age-appropriate hands-on activities along with STEM curriculum module designed for upper-level Civil Engineering undergraduate and graduate students at JSU. This initiative transforms research outcomes into the classroom to modernize workforce training using integrated Augmented Reality (AR) and Virtual Reality (VR) and will be tested with summer student exchange programs. Students can explore and 3D print several transportation infrastructure components, such as culverts, bridges, and urban drainage systems, and evaluate their performance under simulated flood conditions, and experience AR/VR based immersive simulators. Using AR/VR tools, including the Meta Quest platform, available in the PI lab, future transportation engineers will visualize flood scenarios in immersive 3D environments built from existing topographical assets in Unity or Unreal Engine. By combining advanced predictive modeling with experiential learning, the project promotes advanced STEM engagement, and high-tech workforce development, aligning with broader goals of improving multimodal transportation system resilience. While the primary focus is on urban road and rail flooding, these transportation corridors serve as critical connectors to Mississippi's inland waterway freight network, including facilities linked to the Pearl River system and regional multimodal freight movements. Roadway disruptions during extreme rainfall events can delay freight access to ports, intermodal terminals, water-dependent industrial facilities, and affect supply-chain resilience. By identifying flood-vulnerable roadway and railway segments, the proposed framework will support more reliable connectivity between surface transportation infrastructure and maritime freight operations]]></description>
      <pubDate>Tue, 21 Jul 2026 16:34:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/2732359</guid>
    </item>
    <item>
      <title>Integrated Acoustic and Human-Centered Development and Digital Twin Testing for Rail Noise Abatement Strategies in Ohio
</title>
      <link>https://rip.trb.org/View/2712240</link>
      <description><![CDATA[Rail and highway projects tend to run in tandem. Typically, residential areas along rail lines are located at grade separations. As a result, residents can be adversely impacted by rail noise and track vibration. Ohio Department of Transportation (ODOT) consistently receives complaints from residents related to rail noise. Currently, ODOT does not have any defined noise abatement strategies for rail projects. Research is needed to determine if there are feasible, reasonable, cost-effective ways to dampen rail noise for residential and other noise sensitive areas along rail lines.

Research Goal: Identify innovative techniques and/or designs that can aid in the mitigation of rail noise. For this study, rail noise is referring to sounds coming from the tracks and subsequent vibrations, not the train horn. Of particular interest is railroad crossing elimination projects, which are subject to National Environmental Policy Act (NEPA)  assignment and typically include an at grade crossing and the potential for road relocation above existing rail lines. Additional items that should be taken into consideration include ownership, requirements, and costs for installation and ongoing maintenance of all proposed solutions.

Potential Benefits: Effective noise abatement strategies for rail noise could extend benefits currently experienced from highway noise abatement strategies to residential and commercial areas located along rail lines. This includes but is not limited to increased quality of life.        ]]></description>
      <pubDate>Tue, 09 Jun 2026 10:55:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/2712240</guid>
    </item>
    <item>
      <title>Railway Noise Abatement Strategies: State of the Art and Applicability for Ohio Corridors</title>
      <link>https://rip.trb.org/View/2712239</link>
      <description><![CDATA[Rail and highway projects tend to run in tandem. Typically, residential areas along rail lines are located at grade separations. As a result, residents can be adversely impacted by rail noise and track vibration. Ohio Department of Transportation (ODOT) consistently receives complaints from residents related to rail noise. Currently, ODOT does not have any defined noise abatement strategies for rail projects. Research is needed to determine if there are feasible, reasonable, cost-effective ways to dampen rail noise for residential and other noise sensitive areas along rail lines.

Research Goal: Identify innovative techniques and/or designs that can aid in the mitigation of rail noise. For this study, rail noise is referring to sounds coming from the tracks and subsequent vibrations, not the train horn. Of particular interest is railroad crossing elimination projects, which are subject to National Environmental Policy Act (NEPA) assignment and typically include an at grade crossing and the potential for road relocation above existing rail lines. Additional items that should be taken into consideration include ownership, requirements, and costs for installation and ongoing maintenance of all proposed solutions.

Potential Benefits: Effective noise abatement strategies for rail noise could extend benefits currently experienced from highway noise abatement strategies to residential and commercial areas located along rail lines. This includes but is not limited to increased quality of life. 

The goal of this research is to systematically research and evaluate emerging noise abatement strategies for potential implementation in Ohio's railroad projects. The research team will directly address the effectiveness (cost per dB reduced), cost (including construction and maintenance costs, such as cost per mile), reliability, and implementation hurdles for each strategy, as well as ownership considerations. They will also consider combining measures (e.g., dampers, a short barrier, and a track pad) to achieve additive benefits beyond those reported in existing studies. The proposed project advances the state of practice for railroad noise abatement strategies from scattered information worldwide to a more defined, deployable set. It provides an in-depth evaluation of innovative rail noise abatement solutions, moving beyond the conventional highway noise wall paradigm to more adaptable, rail-specific approaches.            ]]></description>
      <pubDate>Tue, 09 Jun 2026 10:26:02 GMT</pubDate>
      <guid>https://rip.trb.org/View/2712239</guid>
    </item>
    <item>
      <title>Putting a Price on Regional Rail Quality: Evaluating the Value Potential Riders Place on Regional Rail Service Attributes</title>
      <link>https://rip.trb.org/View/2702083</link>
      <description><![CDATA[Public transit has suffered from chronic disinvestment despite its community-wide benefits. Post-pandemic, drastic changes in travel demand have left agencies grappling with financial stress. California’s transit ridership has generally tracked alongside national ridership trends with a substantial dip in ridership and then slow recovery, but commuter rail mode share has remained substantially lower than pre-pandemic shares. Most rail services are geared towards serving commuters; higher frequency is offered during weekdays and peak hours, ticket pricing is tailored to favor people making the same kind of trip on a regular basis, and service hours align with commuter needs. The five days-a-week commuting to work lifestyle is no more, and rail agencies serving commuters are experiencing decimated ridership that is showing no signs of bouncing back. This project uses survey research targeted towards understanding how to tailor rail services to gain new markets for regional rail services. The research team developed a stated preference (SP) experiment to understand evolving needs of commuters and non-commuters, as well as riders and potential riders. The service attributes under study include train schedule, ticket cost, station access, reliability, station amenities, and how the potential user base views rail services. Although the study will focus on the area defined by its research partner, Capitol Corridor, it is widely applicable across the country in locations with intercity, suburban, and small urban regional rail services.]]></description>
      <pubDate>Wed, 13 May 2026 16:58:48 GMT</pubDate>
      <guid>https://rip.trb.org/View/2702083</guid>
    </item>
    <item>
      <title>A Probabilistic Intelligence-Driven Framework for Predictive Cyber Defense in Railway Systems</title>
      <link>https://rip.trb.org/View/2655703</link>
      <description><![CDATA[The rapid digital transformation of railway systems through automation, system integration, and enhanced connectivity has significantly improved operational efficiency, safety, and reliability. However, this digitalization has simultaneously expanded the cyber-attack surface, introducing new vulnerabilities in signalling, communication, and control systems. As critical national infrastructure, railways require robust protection against cyber threats to maintain operational resilience and public safety.

Railway cyber-physical environments present unique challenges distinct from traditional IT systems, characterized by strong interdependencies between digital and physical components where a single breach can cascade across subsystems, causing widespread disruption, safety hazards, and financial loss. Existing cybersecurity frameworks, often static and rule-based, are inadequate for representing the dynamic, probabilistic nature of modern cyber threats, necessitating data-informed, adaptive approaches capable of modeling complex dependencies and supporting timely decision-making.

This research develops a probabilistic modeling framework for assessing and mitigating cybersecurity risks in railway systems. The core methodology employs Bayesian Networks (BNs) to capture conditional dependencies among key threat variables, integrating both empirical data and expert knowledge to infer system vulnerabilities and potential attack outcomes. To address evolving threats, the framework extends to Dynamic Bayesian Networks (DBNs), incorporating temporal relationships that model cyberattack progression over time, enabling early threat detection and proactive defense strategies.

A central innovation is the integration of MITRE ATT&CK cyber threat intelligence, encoding real-world adversarial tactics, techniques, and procedures (TTPs) into the BN/DBN structures to enhance model realism and predictive accuracy. This research addresses three key questions: how Bayesian and Dynamic Bayesian Networks can model probabilistic relationships and temporal progression of railway cyber threats; how MITRE ATT&CK intelligence can be integrated to capture realistic adversarial behaviors; and how the proposed framework can support proactive cybersecurity risk assessment and decision-making. The resulting framework provides a systematic, interpretable foundation for probabilistic railway cybersecurity analysis, helping operators and policymakers anticipate and respond to emerging threats.]]></description>
      <pubDate>Tue, 20 Jan 2026 14:16:14 GMT</pubDate>
      <guid>https://rip.trb.org/View/2655703</guid>
    </item>
    <item>
      <title>Multisensor Drone-Based Imaging Synthetic Aperture Radar System for Railway Bridge Timber Inspection



</title>
      <link>https://rip.trb.org/View/2572336</link>
      <description><![CDATA[This project evaluated the feasibility of using a drone-mounted imaging Synthetic Aperture Radar (iSAR) system to inspect wooden railway bridges and timber pilings -- structures that are often difficult, hazardous, or costly to assess manually. A specific goal of the research was to determine whether Real-Time Kinematic (RTK)-GPS would provide sufficient positional accuracy for advanced SAR processing and to identify the limits of relying on RTK-GPS alone. Although the radar used was not optimized for close-range inspection, the study demonstrated proof-of-concept performance and provided key insights for future development.

A heavy-lift drone was equipped with commercially available radar, RTK-GPS/IMU navigation, stereoscopic cameras, and infrared sensors. A multi-computer onboard system with an Message Queuing Telemetry Transport (MQTT)-based framework enabled synchronized data collection and control. Field tests in rural Massachusetts used single- and multi-pass radar scans of simple targets—a metal reflector and a wooden 4×4. Reconstructed images created from measured field data closely matched synthetic models. RTK-GPS provided sufficient positional accuracy in this controlled setting, though additional methods such as Simultaneous Localization and Mapping (SLAM) are needed for GPS-challenged environments.

Testing also revealed practical deployment considerations, including flight-path stability, sensor mounting, and operator training needs. Despite early setbacks, including a crash, the system achieved stable flight and reliable data collection, demonstrating both the challenges and potential of integrating non-optimized radar hardware.

The project outlines a path toward a commercial inspection service. Future work includes developing a custom radar with improved performance, adding onboard processing, enabling autonomous flight, and building a cloud-based analytics pipeline. Ultimately, this approach could enable safer, more frequent, and more comprehensive inspections to help improve defect detection and extend the lifespan of timber bridge infrastructure.

]]></description>
      <pubDate>Wed, 09 Jul 2025 16:13:03 GMT</pubDate>
      <guid>https://rip.trb.org/View/2572336</guid>
    </item>
    <item>
      <title>Improved Road Flood Predictability and Disruption Response Through the Synergistic Integration of Geospatial Databases, Process-Based Modeling, and Machine Learning</title>
      <link>https://rip.trb.org/View/2536176</link>
      <description><![CDATA[Major flood events can have devastating impacts on communities, ecosystems, and infrastructure. Heavy rainfall in urban areas often overwhelms existing infrastructure, resulting in localized street or section flooding. Flooded roads hinder access to essential services and pose significant challenges for emergency management. Predicting these floods in near-real-time and with high resolution is difficult due to limited data and the computational cost of detailed models. The research team has already developed and tested a framework (Bhattarai et al., 2024). This project will test the modeling framework around the Jackson, Mississippi, downtown and surroundings. For instance, events like floodwater beneath the railroad bridge on Monument Street near Mill Street in Jackson (reported on Wednesday, January 24, 2024, and similar events). The project will compile information on flooded road and railway networks from local and regional news portals and X (formerly Twitter). Using location keywords (Jackson’, ’Jackson downtown’, ’Jackson MS’) and flood-related terms (’flood’, ’flooding’, ’road flood’, ’urban flood’, ’flash flood’, ’road closure’, ’rainfall’), the research team will identify flooding dates and affected road locations for the recent time and geolocate flooded locations using QGIS, that will serve as training-testing data for the machine learning model. Then the project will develop and test machine learning models (base learner models, such as random forest, support vector machines, and ensemble of these base learners). The research team will use datasets of covariates from other available hydrodynamic models, satellite rainfall estimates, traffic cameras (if available), flood-control infrastructure databases, and basin characteristics to predict flood inundation at street-level resolution. The research team believes these machine learning-based models offer significant improvements in computational efficiency while maintaining accuracy and consistency. In a nutshell, the research team will identify the most susceptible road and rail networks to critical urban facilities.]]></description>
      <pubDate>Thu, 10 Apr 2025 14:38:23 GMT</pubDate>
      <guid>https://rip.trb.org/View/2536176</guid>
    </item>
    <item>
      <title>Detecting and Mitigating Low-Level DC Leakage and Fault Currents In Transit Systems



</title>
      <link>https://rip.trb.org/View/2487299</link>
      <description><![CDATA[Low-level electrical fault currents are phenomena found in direct current (DC) traction systems used in public transit systems and electrified rail systems worldwide. These low-level currents are typically caused by small and sporadic failures of insulation within the electrification system, which often make them difficult to locate, measure, and control. The apparent effects of these faults can go unnoticed for long periods of time as a result of their slow and progressive nature; however, if these faults are left undetected, evidence exists to show that extensive damage to infrastructure of transit systems and infrastructure of adjacent private/public utilities may result. Recently, a transit system suffered damage to its electrification system because of low-level faults in the central core area. The failure resulted in damage valued at more than a million dollars that impacted rush hour revenue service at the time of occurrence. The failure further necessitated service reductions for several days in the central core transit system area while emergency repairs were performed. Similar problems have occurred at other transit agencies.
 
Low-level DC leakage and fault currents may also create safety hazards to transit employees, patrons, and the general public as contact to any metallic structure (such as fences, light poles, and handrails) is potentially lethal because structures may become energized to dangerous voltages. At present, awareness of such hazards is dependent on acute conditions observed (e.g., boom, flame, smoke, steaming or glowing poles, steaming manholes, smoking insulators; train doors that do not open) or felt (e.g., sluggish train operation; shock or tingle on contact; hot water in cable hole), as well as chronic conditions observed (e.g., rail deterioration, rail web entirely destroyed, burnt surge arresters).
 
Currently, there are no known technologies available to easily detect low-level DC leakage and fault currents. To detect low-level DC leakage and fault currents (at the agency level), it is necessary to conduct extensive field research, which is costly, labor intensive, and difficult to accomplish, particularly in areas remote from traction power substations. With current operating budget restrictions prevalent throughout the industry, this type of testing is not feasible. Research is needed to identify possible workable solutions; develop prototypes for detection and monitoring systems; and, produce a guide to mitigating low-level DC leakage and fault currents.
 
The objectives of this research are to develop (a) one or more prototype methods, tools, or techniques for detecting/monitoring low-level DC leakage and fault currents (i.e., magnitude of current and location of fault) in electrified transit systems and (b) a guide to detecting and mitigating low-level DC leakage and fault currents in transit systems. Electrical faults of interest include, but are not limited to, those originating from subsurface conductors as well as third rail and overhead contact systems.
 
]]></description>
      <pubDate>Tue, 07 Jan 2025 18:09:21 GMT</pubDate>
      <guid>https://rip.trb.org/View/2487299</guid>
    </item>
    <item>
      <title>Efficient and Cost-effective Rating of Critical Members of Steel Truss Railroad Bridges Supported by Field Test Data (1.21)</title>
      <link>https://rip.trb.org/View/1996225</link>
      <description><![CDATA[With the current rate of infrastructure ageing, the railroad bridges have been placed in the second plan for immediate replacement. However, highway and energy resources have shown a great need for prioritized capital investment. This research aims to establish a procedure to evaluate old steel truss bridges, using field data from the 21st-century measuring equipment. The proposed project will develop a systematic framework to apply analytical and experimental field-testing techniques to rate of critical members of truss railroad bridges using state-of-art equipment, such as 3D Laser Scan (3dLS) and Laser Doppler Vibrometers (LDV). First, the research team will work closely with New England’s Departments of Transportation (DOTs) and railroad companies to identify poorly rated bridges in the New England region, critical members/connections and possible structural failure modes. Second, an efficient and uniform method to estimate the maximum load and capacity of representative critical members of the selected type of truss bridges will be developed and rated based on the filed measured data. Similarly, the current filed measurement technique of section properties loss and critical connection will be enhanced with 21st-century technology.]]></description>
      <pubDate>Wed, 01 May 2024 16:57:04 GMT</pubDate>
      <guid>https://rip.trb.org/View/1996225</guid>
    </item>
    <item>
      <title>Development of a Real-Time Flood Forecasting System for Railroad Crossings in the Midwest</title>
      <link>https://rip.trb.org/View/2342030</link>
      <description><![CDATA[Due to its characteristics, the railroad transportation system is highly susceptible to floods occurring in channels of different sizes. Historically, floods have caused operational delays and cost increments affecting rail lines and bridges. A significant portion of the described flood alterations take place in crossings of relatively small rivers, usually not included or not well represented in the national flood forecast system hampering logistics and increasing costs. Therefore, the system requires a flood forecast system able to represent most of the rivers allowing to make better-informed decisions.      ]]></description>
      <pubDate>Mon, 19 Feb 2024 16:52:49 GMT</pubDate>
      <guid>https://rip.trb.org/View/2342030</guid>
    </item>
    <item>
      <title>Develop a Rational Approach to Performing Rail Structure Interaction Analysis (RSI) and for Using the Results of the Analysis in Transit Bridge Design</title>
      <link>https://rip.trb.org/View/2307251</link>
      <description><![CDATA[Rail structure interaction (RSI) is the detailed study of the complex nonlinear interactions and forces exchanged between railway tracks and bridge structures. RSI induces a non-negligible combination of loads, displacements, and dynamic effects on longer span bridges utilizing continuous welded rail. An RSI analysis is required to understand the force transfer mechanism and stresses induced in the rail. Rail displacement relative to the bridge superstructure and transmission of forces to bridge components also is part of the analysis. The interaction effects include thermal effects between the rail and superstructure, longitudinal deformation of the substructure under temperature loads, train braking/traction loads, seismic loading, and vertical live load effects. These forces and effects become even more significant on curved bridges utilizing direct fixation tracks. Most transit agencies require an RSI analysis be performed on their bridges or systems, and their RSI provisions vary greatly on parameters, methodology, and acceptance criteria. There are no industry-wide RSI analysis guidelines or acceptance criteria within the US transit sector, and most agencies do not address the utilization of RSI results in their design. It is necessary to develop recommendations for the methodology of analysis based on a rational approach and research. Additionally, criteria for evaluating and integrating the RSI results into bridge design are needed. The objective of this research is to provide guidance on developing and implementing RSI analysis to transit agencies and designers, as well as incorporating the RSI analysis results into the design of applicable transit structures and components.]]></description>
      <pubDate>Wed, 13 Dec 2023 12:26:16 GMT</pubDate>
      <guid>https://rip.trb.org/View/2307251</guid>
    </item>
    <item>
      <title>SEPTA Regional Rail Automated Wire Scan</title>
      <link>https://rip.trb.org/View/2093175</link>
      <description><![CDATA[Southeastern Pennsylvania Transportation Authority (SEPTA) will partner with Strukton Rail North America Inc. to deploy a state-of-the-art automated scanning technology to assess the condition of the overhead contact system (OCS) wires over 262 track miles of its regional rail network. This new technology will provide information that is more complete, detailed and accurate than what present visual observation and hands-on inspection techniques and will allow SEPTA to enhance its capital planning, achieve or maintain a state of good repair, and reduce maintenance costs.]]></description>
      <pubDate>Tue, 03 Jan 2023 13:53:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/2093175</guid>
    </item>
    <item>
      <title>Determination of Actual Derailment Loads on Transit Bridges</title>
      <link>https://rip.trb.org/View/2083654</link>
      <description><![CDATA[TCRP Report 257: Determination of Actual Derailment Loads on Transit Bridges provides the transit industry with a reasoned basis for derailment loads on bridges. It also offers methodologies that bridge design engineers can utilize to calculate the horizontal and vertical derailment impact loading.  The report was developed by conducting a literature review, researching common derailment scenarios, and conducting numerical simulations of train car derailments on bridges. This report will provide bridge designers with the information they need to determine the loads on transit bridges in the vertical and lateral directions.
Derailment loads in nearly all United States transit design criteria documents are similar across agencies. Various agencies modified these loads between 1985 and 2005 with no supporting documents or rationale. Currently, the vertical impact load is defined as 100% of the car weight acting on a single truck, while the horizontal derailment load is set at 40% of the car weight, also acting on one truck. Both are assumed to cause a maximum lateral excursion of 3 feet, implying that a derailed vehicle will not travel farther. Neither of these loads have been experimentally validated and appears to be based on an arbitrary definition that has become the standard practice in the U.S. It is unclear whether this load is reasonably accurate, overly conservative, or too liberal. 
Under TCRP project 257: Determination of Actual Derailment Loads on Transit Bridges, Simpson Gumpertz & Heger, Inc., was tasked with formulating a rational load within acceptable limits of accuracy to ensure the efficient and safe design of bridges by: (1) selecting a representative vehicle or vehicles; (2) analyzing typical track configurations; (3) utilizing numerical modeling; (4) validating the derailment loading model that assumes loads on a single truck; and (5) establishing derailment load criteria that complement the American Association of State Highway Officials LRFD Guide Specifications for Bridges Carrying Light Rail Transit Loads
The objective of this research was to determine accurate horizontal and vertical derailment loads for the efficient and safe design of transit structures. The focus was on developing methodologies that engineers can use to calculate realistic derailment impact loading for use in bridge design. 

 ]]></description>
      <pubDate>Tue, 13 Dec 2022 10:02:17 GMT</pubDate>
      <guid>https://rip.trb.org/View/2083654</guid>
    </item>
    <item>
      <title>Expansion of AskRail program to include short line railroads</title>
      <link>https://rip.trb.org/View/2071555</link>
      <description><![CDATA[This project will integrate short line railroad commodity and consist information currently on Wabtec with the Class I rail data on the AskRail system.  This integration will provide train consist data for both systems and allow first responders to see the entire train after entering one car number.]]></description>
      <pubDate>Mon, 28 Nov 2022 14:19:59 GMT</pubDate>
      <guid>https://rip.trb.org/View/2071555</guid>
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