<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <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>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>The Role of Innovative ITS Technologies In Transport Sustainability: A PIARC High Impact Summary</title>
      <link>https://trid.trb.org/View/2652159</link>
      <description><![CDATA[Global transport systems face increasing pressure to decarbonise, improve equity, and enhance resilience. ITS play a pivotal role in this transition, offering data‑driven, digital solutions that support sustainable, efficient, and user‑centric mobility. This high‑impact summary synthesises global developments across Europe, North America, Asia‑Pacific, and emerging economies, highlighting practical applications, technological innovations, and systemic challenges in embedding ITS for sustainability. Across all regions, ITS deployments are delivering measurable benefits in modal shift, network efficiency, reduced emissions, improved safety, and enhanced inclusiveness. However, progress is uneven due to inconsistent data standards, fragmented governance, gaps in digital capability, and workforce upskilling needs. The report demonstrates that ITS solutions—ranging from AI‑driven public transport optimisation to V2X safety systems, MaaS (mobility as a service) integration, real‑time emissions monitoring, and smart parking—are enabling transport authorities to make more informed decisions and influence user behaviour toward more sustainable modes.]]></description>
      <pubDate>Thu, 14 May 2026 17:02:52 GMT</pubDate>
      <guid>https://trid.trb.org/View/2652159</guid>
    </item>
    <item>
      <title>Functional requirements for automated bus transit systems based on human driver tasks</title>
      <link>https://trid.trb.org/View/2692382</link>
      <description><![CDATA[Driven by advancements in automation and connectivity, this paper explores the development of automated Public Transportation (PT) systems. This study addresses the critical role of human bus drivers in ensuring safety, accessibility, and service quality, examining how their diverse responsibilities can be translated into a modular technical framework. By analyzing legal frameworks in Europe and North America and conducting expert interviews with bus drivers in Munich, Germany, we identify the main tasks human drivers perform, including passenger safety monitoring, passenger assistance, communication, vehicle control, traffic monitoring, and service operation. From these tasks, we derive a conceptual framework of functional requirements organized within a Sense-Plan-Act (SPA) model and a Service-Oriented Architecture (SOA). We propose a Public Transport Control System that integrates requirements into a high-level architecture, providing a foundation for developing systems that can operate safely and efficiently while maintaining high service quality and meeting legal standards.]]></description>
      <pubDate>Wed, 13 May 2026 17:01:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2692382</guid>
    </item>
    <item>
      <title>Digital Twin Vision for Freight Railroads: A Case Study in North America</title>
      <link>https://trid.trb.org/View/2591338</link>
      <description><![CDATA[In recent years, the concept of “digital twins” (DTs) has gained increasing attention in the railroad industry. This complex concept allows the creation of digital representations of physical assets or processes and can support a railroad’s transportation system throughout its lifecycle. For decades, MxV Rail has used the Facility for Accelerated Service Testing (FAST (Registered trademark.) to enable research and testing designed to improve the safety, reliability, and efficiency of North American railroads. At FAST, data streams generated by 1) operations, 2) maintenance, 3) wayside and onboard detector technologies, and 4) individual testing are employed to better understand the effects of heavy axle loads (HAL) as high tonnage accumulates on track components at various stages of wear. The development and implementation of DTs have strong potential to support decision-making for infrastructure and mechanical systems with regard to monitoring, predictive maintenance, and knowledge transfer to conditions where data is unavailable. This paper seeks to open the conversation by reviewing the concept of DTs in the North American railroad industry and showing the vision of the implementation layers for making a DT for FAST and the current efforts to achieve this vision.]]></description>
      <pubDate>Tue, 31 Mar 2026 16:34:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2591338</guid>
    </item>
    <item>
      <title>Cycling Past 50: A Closer Look into the World of Older Cyclists, Year 5 Survey</title>
      <link>https://trid.trb.org/View/2683212</link>
      <description><![CDATA[This document reports on approximately 2,800 responses to a North American survey of older adults who cycle. The survey, open from March 2024 through February 2025, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past year, coding fall descriptions into six categories and sorting them by the respondent’s gender and age. The survey’s Visual Preference questions offered photos of cycling contexts and asked respondents to select four to six options for traveling within each context, then scored its safety and comfort level between 1 and 5. Key takeaways include: many older adults can continue to cycle as they age by using a different bicycle, establishing a different expectation with regard to cycling, finding others to cycle with, and using safe and comfortable cycling facilities. Survey questions about e-bikes, adult trikes, and tandems show the variety of bicycle types available, but point to the need for higher-capacity bikeways and education about sharing bikeways safely. The report ends with several issues for further consideration, including ways that caregiving can enhance or reduce cycling benefits, and how injury recovery can affect a return to cycling, or not. The population of older adults is growing, and examining the needs of this group ensures a community’s ability to create environments conducive to equitable mobility for all.]]></description>
      <pubDate>Tue, 31 Mar 2026 10:12:15 GMT</pubDate>
      <guid>https://trid.trb.org/View/2683212</guid>
    </item>
    <item>
      <title>The volatility in shipping market: Relationship between container freight rates and inflation</title>
      <link>https://trid.trb.org/View/2630680</link>
      <description><![CDATA[The COVID-19 pandemic has triggered pronounced fluctuations in the shipping market, complicating decisions on freight rate setting, capacity allocation, and investment planning. Understanding how inflation influences container shipping is therefore essential for shipping companies seeking to anticipate market changes more accurately. This study examines the nonlinear relationship between container freight rates and inflation, focusing on the China–Europe route and the China–North America West Coast route. To ensure robust results, the analysis incorporates three control variables: port congestion index, container trade index, and container fleet growth. The findings reveal an inverted N-shaped relationship between inflation and freight rates, with two inflection points demarcating shifts in the direction of the effect: inflation exerts a positive influence within the range between the two points but a negative influence outside it. The inflection points observed in this study are higher for the United States compared to Europe, likely due to differences in economic performance and monetary policy. These results highlight the need for shipping companies to adapt their operational and pricing strategies based on the specific economic conditions of the regions in which they operate.]]></description>
      <pubDate>Mon, 02 Mar 2026 08:56:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2630680</guid>
    </item>
    <item>
      <title>From global open multi-source data to network-wide traffic flow: A large-scale case study across multiple cities</title>
      <link>https://trid.trb.org/View/2627399</link>
      <description><![CDATA[Network-wide traffic flow, which captures dynamic traffic volume on each link of a general network, is fundamental to smart mobility applications. However, the observed traffic flow from sensors is usually limited across the entire network due to the associated high installation and maintenance costs. To address this issue, existing research uses various supplementary data sources to compensate for insufficient sensor coverage and estimate the unobserved traffic flow. Although these studies have shown promising results, the inconsistent availability and quality of supplementary data across cities make their methods typically face a trade-off challenge between accuracy and generality. In this research, we first advocate using the global open multi-source (GOMS) data within an advanced deep learning framework to break the trade-off. The GOMS data mainly refers to publicly available multi-type datasets, including road topology, building footprints, and population density, which can be consistently collected across cities. More importantly, these GOMS data are closely related to the traffic flow dynamics, thereby creating opportunities for accurate network-wide flow estimation. Furthermore, we use map images to represent GOMS data, instead of traditional tabular formats, to capture richer and more comprehensive geographical and demographic information. To address multi-source data fusion, we develop an attention-based graph neural network that effectively extracts and synthesizes information from GOMS maps while simultaneously capturing spatiotemporal traffic dynamics from observed traffic data. A large-scale case study across 15 cities in Europe and North America was conducted. The results demonstrate stable and satisfactory estimation accuracy across these cities, which suggests that the trade-off challenge can be successfully addressed using our approach.]]></description>
      <pubDate>Thu, 26 Feb 2026 09:14:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2627399</guid>
    </item>
    <item>
      <title>Reconnecting Communities: Recommendations for Caltrans Excess Land</title>
      <link>https://trid.trb.org/View/2657013</link>
      <description><![CDATA[What changes to policies and procedures at the California Department of Transportation (Caltrans) would increase transfers of agency-owned excess land to California Native American Tribes and groups negatively impacted by freeway development? Using case studies on LandBack and reparations and qualitative research with Caltrans staff and community advisory groups, the research team developed recommendations for Caltrans’ excess land process, community performance measures, an overview of relevant policies, and examples of land return around the state.]]></description>
      <pubDate>Wed, 28 Jan 2026 14:42:49 GMT</pubDate>
      <guid>https://trid.trb.org/View/2657013</guid>
    </item>
    <item>
      <title>Exploration of Data Interpretation Methods and Machine Learning–Based Failure Prediction Models for Plastic Gas Distribution Pipelines</title>
      <link>https://trid.trb.org/View/2612862</link>
      <description><![CDATA[Gas pipelines are a vital part of North America’s energy infrastructure, and analyzing reported incidents is essential for assessing their reliability. Previous studies lack comprehensive data interpretation of contributing factors in pipeline failures. This study addresses that gap by evaluating incident data from the Pipeline and Hazardous Materials Safety Administration for gas distribution systems. The data set was analyzed using multiple correspondence analysis (MCA) and clustering, revealing patterns such as mechanical puncture as the predominant failure mode in excavation damage, equipment failure, and incorrect operation typically causing rupture in younger pipes and pipe or welding material failure leading to leaks in older pipes. A predictive model based on extreme gradient boosting using MCA-transformed features achieved 72% accuracy and a Cohen’s Kappa of 0.55. The model shows practical potential for identifying high-risk segments and supporting asset management for plastic gas pipelines, offering valuable tools for utility owners and consultants.]]></description>
      <pubDate>Wed, 14 Jan 2026 17:40:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/2612862</guid>
    </item>
    <item>
      <title>Traffic Safety and Communities of Color</title>
      <link>https://trid.trb.org/View/2628395</link>
      <description><![CDATA[Over the past half-century in the United States, medical advances, improvements in road and vehicle design, and traffic safety efforts have all had a tremendous impact in reducing traffic-related injury and fatality. However, research suggests that among the US population, certain ethnic groups, namely African Americans, American Indians, and Latinos, continue to face higher traffic-related risk. This paper examines the available research on how traffic safety issues affect higher-risk communities of color, demonstrates that significant disparities in traffic safety outcomes exist between these groups and whites, and explores possible reasons for these differences. The paper focuses on three traffic safety issues that are associated with poorer outcomes among these communities: seat belt use, impaired driving, and pedestrian safety.]]></description>
      <pubDate>Sat, 03 Jan 2026 17:07:13 GMT</pubDate>
      <guid>https://trid.trb.org/View/2628395</guid>
    </item>
    <item>
      <title>Strategies, opportunities, and challenges of integrating shared micromobility with public transport</title>
      <link>https://trid.trb.org/View/2640757</link>
      <description><![CDATA[Shared micromobility may enhance accessibility as part of a comprehensive public transport network. A qualitative stakeholder perspective is needed to reflect the practical opportunities and challenges for integrating shared micromobility and public transport. This research synthesizes literature alongside 25 interviews with professionals across North America and Europe to answer: 1) what challenges and opportunities do different integration approaches offer? And 2) what should be prioritized when integrating shared micromobility and public transport? We frame integration efforts in three pillars: 1) institutional, 2) physical, and 3) digital integration. Findings show that integration efforts are effective only when foundational preconditions are met including high-quality public transport, dedicated micromobility infrastructure, supportive land uses, and issue framing. Institutional and physical integration are both necessary to facilitate multimodal travel and create cohesive regional travel networks. Digital tools can support integration but often requires substantial resources, and faces data sharing and privacy, feasibility, and scaling challenges.]]></description>
      <pubDate>Mon, 22 Dec 2025 10:59:50 GMT</pubDate>
      <guid>https://trid.trb.org/View/2640757</guid>
    </item>
    <item>
      <title>Adaptive Modeling of User Preferences for Self-Driving Behaviors Using Verbal Interaction and AI</title>
      <link>https://trid.trb.org/View/2631975</link>
      <description><![CDATA[This study proposes an adaptive framework for understanding and modeling user preferences in self-driving behaviors through natural language interaction. A user survey conducted in North America revealed strong demand for customizable autonomous vehicle (AV) features, motivating the need for dynamic preference modeling. To capture diverse and context-specific verbal expressions of user intent, we leverage speech recognition and fine-tune a lightweight T5-base language model to classify preferences across predefined AV behavior categories. Given the computational constraints of in-vehicle environments, we adopt the T5-base model due to its efficiency and suitability for embedded deployment, in contrast to larger-scale LLMs. To overcome data scarcity, we applied a data augmentation strategy using a teacher model, increasing classification accuracy from 25% to 97%. The framework can integrate vision-language models (e.g., BLIP-2, CLIP, etc.) and multimodal sensor fusion (camera, LiDAR, radar) to represent traffic situations and support context-aware interpretation of user input. This approach enables the system to generalize user preferences across similar traffic conditions through similarity-based propagation. By supporting condition-specific behavioral expressions, the system can interpret and adapt user preferences accordingly. The proposed framework facilitates scalable, context-aware, and user-centered adaptation of autonomous vehicle behaviors, contributing to improved personalization and may improve system usability.]]></description>
      <pubDate>Fri, 19 Dec 2025 16:53:41 GMT</pubDate>
      <guid>https://trid.trb.org/View/2631975</guid>
    </item>
    <item>
      <title>The contributions of knowledge and trust involving the use of child car seats among Indigenous Peoples in Canada</title>
      <link>https://trid.trb.org/View/2625319</link>
      <description><![CDATA[The purpose of the current study was to examine the effects of child vehicle restraint-related knowledge and trust in information on car seat use among Indigenous Peoples in Canada. An in-person survey was administered to participants who identified as Indigenous (i.e., First Nation or Métis). Participants included those from the Canadian provinces of Ontario, New Brunswick, Nova Scotia, Alberta, British Columbia, and Quebec. The sample consisted of 536 Indigenous adults, ages 18 and older, who reported having children aged 12 or younger or reported transporting other children in vehicles. The analysis focused on the prediction of consistent car seat use. Logistic regression models were used to test the main predictive effects of gender, living on reserve, levels of child vehicle restraint-related knowledge, and levels of trust in information. An interaction effect of child vehicle restraint-related knowledge by trust in information on consistent car seat use was also tested. Gender did not significantly predict consistent car seat use. However, those who reported living on reserve were 52% less likely to report consistently using car seats than those who reported not living on reserve. Additionally, those who exhibited high levels of child vehicle restraint-related knowledge were two and a half times more likely to report consistent car seat use than those with low knowledge levels. Respondents’ level of trust in information was also significantly related to consistent car seat use. Respondents who reported high levels of trust in information were nearly twice as likely to report consistent car seat use than those who reported low levels of trust. Finally, among respondents who demonstrated low knowledge, those who showed high trust in information were nearly two and half times as likely to report consistent car seat use than those who showed low trust. The current study provided evidence that having the requisite knowledge and trust in information was found to be associated with caregiver compliance in using car seats on a regular basis.]]></description>
      <pubDate>Thu, 18 Dec 2025 15:37:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2625319</guid>
    </item>
    <item>
      <title>Advancing Equity in Capital Investment Decision-Making</title>
      <link>https://trid.trb.org/View/2636117</link>
      <description><![CDATA[Transportation capital investment planning plays a crucial role in shaping infrastructure that supports community growth and well-being. While many studies have examined capital investment decisions within specific jurisdictions, there is limited understanding of how equity is defined, measured, and integrated into these processes more broadly. This research addresses this gap by investigating how equity is incorporated into transportation capital investment planning and decision making across Minnesota localities and Native Nations. The study includes a literature review, a statewide survey, and nine case studies reflecting diverse populations and practices. Findings shed light on the development of three key resources: (1) a set of successful practices for integrating equity into capital investment decisions, (2) a list of quantitative and qualitative equity metrics, and (3) a community engagement toolkit to support trust-building with historically underserved communities. These findings and tools aim to support local governments and Native Nations in improving transportation investment practices and advancing equity in infrastructure planning processes and outcomes.]]></description>
      <pubDate>Thu, 11 Dec 2025 16:08:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2636117</guid>
    </item>
    <item>
      <title>2024 Inland Transport Statistics for Europe and North America: Volume LXII</title>
      <link>https://trid.trb.org/View/2593911</link>
      <description><![CDATA[This document presents 2024 statistics on inland transportation for the fifty-six member states of the United Nations Economic Commission for Europe (UNECE). It is Volume LXII in the series. The three modes of transportation covered are road transportation, railroad transportation, and inland waterway transportation. Each chapter begins with a summary providing key figures on each sector, which is followed by detailed tables of data on the statistics sub-categories. An annex provides selected definitions from the Glossary for Transport Statistics prepared by UNECE, the International Transport Forum, and Eurostat.]]></description>
      <pubDate>Mon, 08 Dec 2025 11:43:47 GMT</pubDate>
      <guid>https://trid.trb.org/View/2593911</guid>
    </item>
    <item>
      <title>Exploring the Influence of Asphaltenes on Rheology and Aging Characteristics of Asphalt Binders</title>
      <link>https://trid.trb.org/View/2606362</link>
      <description><![CDATA[Asphalt pavement, crucial for road infrastructure in Northern America, faces challenges like rutting, reduced elasticity, and aging in binders, necessitating sustainable solutions. This study explores the potential of asphaltenes, a by-product of Alberta oil sands, as an additive to enhance key properties of asphalt binders, such as rutting resistance, elasticity, and aging characteristics, through multiple stress creep recovery (MSCR) and frequency sweep (FS) tests on two distinct binder types. Binders, both neat and modified with an optimum asphaltenes concentration of 12 % (by weight of binder), underwent MSCR and FS tests. The MSCR test results revealed that asphaltenes-modified binders had reduced nonrecoverable creep compliance (Jₙᵣ) that met requirements for extremely heavy traffic conditions (>30 million equivalent single axle loads) with Jₙᵣ values being lower than 0.5 kPa⁻¹. Stress sensitivity was notably reduced, which emphasized the stabilizing effect of asphaltenes. The FS test results showed notable enhancements in stiffness, with 497–546 % increased complex shear modulus, up to seven times higher rutting parameter values at 0.1 rad/s following asphaltenes modification. Additionally, the aging resistance of the modified binders improved, with the complex shear modulus aging index for short-term aging reduced by 20–23 % and for long-term aging by 44–48 % compared with neat binders. These improvements underscore the promising use of asphaltenes in sustainable asphalt binder modification.]]></description>
      <pubDate>Tue, 02 Dec 2025 16:09:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/2606362</guid>
    </item>
  </channel>
</rss>