<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>Curb Management for More Efficient Deliveries</title>
      <link>https://trid.trb.org/View/2581337</link>
      <description><![CDATA[Curb management is critical for urban functionality, particularly in downtown areas, where various users compete for limited curb space. This chapter presents two Southern California curb management pilot projects funded by the US Department of Energy, focused on promoting zero-emission vehicles (ZEVs). The research employs semi-structured interviews with stakeholders involved in these projects to explore their characteristics, expectations, and limitations. The escalating demand for curb space, driven by ride-hailing services, goods delivery, and alternative transportation modes, is discussed, along with the ensuing challenges like congestion and conflicts between modes. The study highlights the complex relationship between optimizing curb efficiency and promoting ZEVs and the role of automation in enforcement. This chapter offers valuable insights into the intricate trade-offs inherent in managing curb space for a sustainable urban future.]]></description>
      <pubDate>Thu, 28 May 2026 17:09:37 GMT</pubDate>
      <guid>https://trid.trb.org/View/2581337</guid>
    </item>
    <item>
      <title>Evaluation of Different Curb Extension Treatments for Pedestrian Comfort and Safety at Intersections</title>
      <link>https://trid.trb.org/View/2696022</link>
      <description><![CDATA[The purpose of this study was to examine the effect of different kinds of curb extensions in Washington, D.C. on both driver yielding behavior and on pedestrian crossing satisfaction. To explore these questions, we used a mixed methods approach of surveying pedestrians crossing the roads from 47 curb extensions and video data recording of driver yielding behavior at 15 study intersections and 10 control intersections. Both sets of data were analyzed by examining descriptive statistics and logistic regression of pedestrian crossing satisfaction (for the survey data) and driver failure to yield (for the video data). We examined 180 survey responses and found that while pedestrians were more likely to wait in permanent curb extensions than in tactical curb extensions or tactical curb extensions with mural art, pedestrians crossing from tactical curb extensions with mural art reported the greatest crossing satisfaction. After analyzing 223 hours of video data and coding 1,396 events where drivers should have yielded to pedestrians, we found that tactical curb extensions with mural had a statistically significant effect on decreasing the log odds of a driver’s failure to yield. The combined results indicate that tactical curb extensions, including those with mural art, likely meet the needs of pedestrians crossing the roadway compared to permanent or normal crossing locations.]]></description>
      <pubDate>Wed, 06 May 2026 15:22:05 GMT</pubDate>
      <guid>https://trid.trb.org/View/2696022</guid>
    </item>
    <item>
      <title>The Effects of Curb Extensions on Traffic Crashes and Injuries</title>
      <link>https://trid.trb.org/View/2688680</link>
      <description><![CDATA[This paper employs Bayesian negative binomial models to examine the effects of curb extensions on traffic safety through their implementation as part of a stormwater management program in the City of Philadelphia. Although widely deployed to promote traffic safety, the effects of curb extensions on traffic safety are poorly understood. Between 2011 and 2023, the Philadelphia Water Department installed 156 vegetated curb extensions that protruded into the street and initiated the design of 342 curb extensions to be built by 2029. Although pre-existing crash data featured in the selection of treated locations, the focus on stormwater management and long list of treated and untreated intersections provide unique, quasi-experimental conditions under which to examine the effects of curb extensions. After matching these curb extensions to intersections and removing midblock interventions, we created a dataset of 94 treated intersections and 269 control intersections installed between 2013 and 2023. Each intersection included a single curb extension. We matched these spatially to annually aggregated crash data from 2012 to 2024. We also matched these to data on the roadway width, roadway class, signalization at the intersection, and expected acres of drainage associated with stormwater management. Analysis suggested that curb extensions reduced the incidence of reported crashes by around 13% at a typical intersection. However, the 95% credible interval ranged from a 35% decrease to an 18% increase. Findings suggest that a single curb extension may reduce collisions and injuries but that additional studies are needed from fully treated intersections.]]></description>
      <pubDate>Thu, 02 Apr 2026 16:17:57 GMT</pubDate>
      <guid>https://trid.trb.org/View/2688680</guid>
    </item>
    <item>
      <title>CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation</title>
      <link>https://trid.trb.org/View/2561800</link>
      <description><![CDATA[Curb detection is a crucial function in intelligent driving, essential for determining drivable areas on the road. However, the complexity of road environments makes curb detection challenging. This paper introduces CurbNet, a novel framework for curb detection utilizing point cloud segmentation. To address the lack of comprehensive curb datasets with 3D annotations, we have developed the 3D-Curb dataset based on SemanticKITTI, currently the largest and most diverse collection of curb point clouds. Recognizing that the primary characteristic of curbs is height variation, our approach leverages spatially rich 3D point clouds for training. To tackle the challenges posed by the uneven distribution of curb features on the xy-plane and their dependence on high-frequency features along the z-axis, we introduce the Multi-Scale and Channel Attention (MSCA) module, a customized solution designed to optimize detection performance. Additionally, we propose an adaptive weighted loss function group specifically formulated to counteract the imbalance in the distribution of curb point clouds relative to other categories. Extensive experiments conducted on 2 major datasets demonstrate that our method surpasses existing benchmarks set by leading curb detection and point cloud segmentation models. Through the post-processing refinement of the detection results, we have significantly reduced noise in curb detection, thereby improving precision by 4.5 points. Similarly, our tolerance experiments also achieve state-of-the-art results. Furthermore, real-world experiments and dataset analyses mutually validate each other, reinforcing CurbNet’s superior detection capability and robust generalizability. The project website is available at: https://github.com/guoyangzhao/CurbNet/.]]></description>
      <pubDate>Tue, 24 Feb 2026 09:00:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2561800</guid>
    </item>
    <item>
      <title>Curbside EV Charging Study for the City of West Hollywood</title>
      <link>https://trid.trb.org/View/2613651</link>
      <description><![CDATA[Electric vehicles (EVs) have many benefits. EVs can help reduce emissions, improve air quality, and increase energy independence. For individual drivers, EVs can greatly reduce fuel expenditures and help contribute to a more sustainable environment. However, while the EV market is on the rise, barriers to mass adoption remain. Range anxiety, unawareness of the technology, high costs, and inadequate charging access all serve as deterrents to EV ownership. As such, while auto manufacturers and the federal government are working to reduce upfront cost of EVs through technology and incentive programs, cities across the nation are gearing up to improve EV readiness. In response to a recent City Council Initiative to promote EV charging readiness, West Hollywood is exploring the feasibility to expand its off-street EV charging infrastructure to curbsides. Curbside EV charging stations have many benefits over off-street charging stations because they provide not only charging access, but also the potential to increase public awareness of EVs and help with city branding. West Hollywood is interested in exploring where best to place curbside chargers given their unique constraints on usage time and location. Although EV charging infrastructure is becoming more affordable, it does not come cheap, and labor constitutes most of the installation costs. Uncertainty of demand makes EV charging infrastructure deployment even more difficult. This study aims to explore the potential for West Hollywood to host curbside EV charging stations and identify candidate sites that can maximize utilization of charging stations while minimizing cost and hazards. Included in this report is some background information on EV  basics, followed by a literature review on EV adopter profiles, costs and benefits of EV charging stations, and barriers to mass EV adoption. Qualitative interviews with city officials were conducted to get insight into other cities' approach to EV readiness programs. Siting recommendations were based on the result from a GIS weighted-sum analysis model and fieldwork, which considered insights gained from the interviews and literature review. Results show that charging deserts exist in West Hollywood and there is great potential for the city to deploy curbside EV charging infrastructure. In addition to locating chargers at strategic locations, coordination with different agencies and communication with the public are crucial throughout the process. It is also a good practice for West Hollywood to continue a conversation with their regional EV partners after infrastructure deployment to share experiences and identify best practices.]]></description>
      <pubDate>Sat, 13 Dec 2025 17:00:40 GMT</pubDate>
      <guid>https://trid.trb.org/View/2613651</guid>
    </item>
    <item>
      <title>Pedestrian Infrastructure and ADA Compliance: Leveraging Advances in Spatial Technologies</title>
      <link>https://trid.trb.org/View/2611083</link>
      <description><![CDATA[Despite the Americans with Disabilities Act (ADA) passage in 1990, non-compliant pedestrian infrastructure remains widespread, often due to the lack of comprehensive pedestrian infrastructure data. Traditional methods of measuring compliance are time consuming, prompting the need for more efficient approaches. This research explores the potential and effectiveness of mobile light detection and ranging (LiDAR) technology in assessing ADA compliance of sidewalks and curb ramps in various scenarios. Part 1 evaluates the capabilities of the iPhone 13 Pro’s LiDAR, a low-cost mobile LiDAR technology, against a high-quality Trimble TX8 unit and field measurements. Results suggest that the iPhone’s LiDAR is generally effective at detecting minute ADA compliance issues, although with some variability in curb ramp slope measurements. Part 2 investigates the impact of obstructions on data quality in detecting ADA compliance of sidewalks and curb ramps, such as might be found when pedestrian infrastructure data are collected from the middle of the street instead of from the sidewalk. Findings suggest significant data gaps due to obstructions like vegetation and parked cars when LiDAR data are collected from streets. Despite these challenges, the study highlights the potential of mobile LiDAR, particularly in unobstructed areas, to improve ADA compliance assessments and enhance accessibility for individuals with disabilities.]]></description>
      <pubDate>Fri, 07 Nov 2025 11:31:10 GMT</pubDate>
      <guid>https://trid.trb.org/View/2611083</guid>
    </item>
    <item>
      <title>Installation Guidelines for Midwest Guardrail System on Curbed Roadways for MASH TL-3 Applications</title>
      <link>https://trid.trb.org/View/2612936</link>
      <description><![CDATA[The objective of this project was to develop installation guidelines for the placement of the Midwest Guardrail System (MGS) in combination with roadside curbs to satisfy the Manual for Assessing Safety Hardware (MASH) Test Level 3 (TL-3). A combination of vehicle trajectory tests, LS-DYNA simulations, and MASH crash testing were used to achieve this objective. Two vehicle trajectory tests, using a 2270P pickup and an 1100C small car, were conducted with the vehicles traversing over a 6?in. tall, American Association of State Highway and Transportation Officials Type B curb at impact conditions consistent with MASH TL-3. The suspensions of LS-DYNA models for these MASH vehicles were updated, and validated to match the vehicle trajectories measured during the curb traversal tests. The updated vehicle models were then used to simulate MASH TL-3 impacts with the MGS set at various offsets behind the curb. An offset of 6?ft was selected as the maximum offset for the MGS behind the curb. Two MASH crash tests were conducted on the MGS placed behind the curb. A MASH 3-11 test was conducted with the MGS offset 6?ft behind a 6?in. curb to evaluate override and instability concerns, while a MASH 3-10 test was conducted with a 1?ft offset to evaluate underride and snag. Both tests passed MASH TL-3 safety performance criteria. Additional simulations showed that reduced impact speeds and angles did not cause any vehicle containment or stability concerns. Thus, the MGS with a height of 31?in. relative to the top of the curb was considered MASH TL-3 crashworthy when installed at offsets between 1 and 6?ft behind a roadside curb.]]></description>
      <pubDate>Mon, 27 Oct 2025 11:30:23 GMT</pubDate>
      <guid>https://trid.trb.org/View/2612936</guid>
    </item>
    <item>
      <title>Mapping Equity: A Geospatial Evaluation of the Accessibility and Quality of Transportation Infrastructure in Oakland, CA</title>
      <link>https://trid.trb.org/View/2606653</link>
      <description><![CDATA[This research assesses how the City of Oakland is meeting the basic transportation needs of its residents, defined by their ability to safely and comfortably use critical infrastructure such as sidewalks, roads, street lighting, street trees, and curb ramps. The study investigates the relationship between neighborhood demographic and socioeconomic characteristics and the quality and availability of transportation assets, aiming to determine if these resources are distributed equitably. The analysis utilized geospatial datasets on pavement condition, curb ramp Americans with Disability Act (ADA) compliance, sidewalk integrity, and street tree conditions. These factors were mapped and compared against Oakland Department of Transportation's (OakDOT’s) Priority Neighborhoods dataset, which assigns each of the City’s 116 census tracts an equity priority designation. Findings reveal inequities in infrastructure quality. Issues like deteriorating pavement, non-ADA-compliant curb ramps, and severe sidewalk damage are disproportionately distributed, with many lower equity priority neighborhoods unexpectedly displaying higher maintenance needs. However, closer examination showed that these issues in lower equity priority areas, particularly in the hilly neighborhoods northeast of the I-580 freeway, are significantly influenced by environmental factors such as steep and uneven slopes. Higher equity priority neighborhoods face compounded disadvantages, including higher pollution exposure, increased ambulatory disability rates, and limited street tree coverage. These overlapping vulnerabilities highlight the need for continued targeted investment in high equity priority neighborhoods. The study recommends expanding asset data collection, developing tailored performance metrics, integrating these metrics into prioritization frameworks, and collaborating closely with community organizations. These measures aim to foster transparency and equity in Oakland’s transportation infrastructure planning and investments.]]></description>
      <pubDate>Thu, 23 Oct 2025 09:23:07 GMT</pubDate>
      <guid>https://trid.trb.org/View/2606653</guid>
    </item>
    <item>
      <title>Enhancing Airport Access with Emerging Mobility</title>
      <link>https://trid.trb.org/View/2606594</link>
      <description><![CDATA[This report provides strategies for addressing current and future transportation and ground access technologies and for planning landside facilities that incorporate these emerging technologies. Airport operators and other landside stakeholders will find these guidelines helpful when planning, designing, and operating passenger terminal facilities, including roadways, curbs, parking, mass transit facilities, and ground transportation centers. Accompanying this guide are appendices that provide case examples and other supportive research, as well as an electronic toolkit that features interactive content and tools to assess electric growth for landside transportation.]]></description>
      <pubDate>Sun, 05 Oct 2025 18:55:39 GMT</pubDate>
      <guid>https://trid.trb.org/View/2606594</guid>
    </item>
    <item>
      <title>SMART Curbs: City of San Jose's Curb Digitization and Management Pilot: Data Management Plan</title>
      <link>https://trid.trb.org/View/2597107</link>
      <description><![CDATA[San José has ambitious transportation goals and has pledged to achieve at least half of trips made by transit, biking, micro-mobility, or on foot by 2040. San José’s Downtown Transportation Plan (2022) identifies curb management and demand-based parking pricing as strategies needed to reach these goals. Today, parking-dominated curbs in Downtown San José face growing demand for reliable bus service, safe bikeways, efficient on-demand passenger loading and goods deliveries, and enjoyable public places like parklets, outdoor dining, and green infrastructure. Without adequate spaces for all these uses, delivery workers often double park and obstruct traffic, transit riders are delayed, pedestrians and bicyclists are put in danger by blocked bike lanes, people with disabilities are dropped off far away from their destinations, and business activities are stymied. The result: inefficiency across all modes of transportation.    At full-scale implementation, San José’s limited curb space will be more flexible, more efficient, and more responsive to its diverse users. Proactively managing the curb is essential to creating safer, more reliable, more resilient, more vital, and more integrated public spaces for all San José residents. The Stage 1 pilot project used technology to develop a strategic approach to managing Downtown’s limited curb spaces to meet the competing and growing demands for various curb uses. The project included two components. First, the pilot project collected curb inventory data for all streets in Downtown San José using LiDAR scanning. Second, the pilot project collected curb utilization data from approximately 50 street blocks in Downtown San José using a combination of sensor- and camera-based infrastructure. The curb inventory and utilization data are standardized and incorporated in a curb data management platform. These two components will help San José DOT implement curb management strategies, monitor curb uses, and provide real-time broadcasting of curb use information to the public.]]></description>
      <pubDate>Thu, 25 Sep 2025 09:30:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2597107</guid>
    </item>
    <item>
      <title>SMART Curbs: City of San Jose's Curb Digitization and Management Pilot [supporting dataset]</title>
      <link>https://trid.trb.org/View/2597131</link>
      <description><![CDATA[San José has ambitious transportation goals and has pledged to achieve at least half of trips made by transit, biking, micro-mobility, or on foot by 2040. San José’s Downtown Transportation Plan (2022) identifies curb management and demand-based parking pricing as strategies needed to reach these goals. Today, parking-dominated curbs in Downtown San José face growing demand for reliable bus service, safe bikeways, efficient on-demand passenger loading and goods deliveries, and enjoyable public places like parklets, outdoor dining, and green infrastructure. Without adequate spaces for all these uses, delivery workers often double park and obstruct traffic, transit riders are delayed, pedestrians and bicyclists are put in danger by blocked bike lanes, people with disabilities are dropped off far away from their destinations, and business activities are stymied. The result: inefficiency across all modes of transportation.]]></description>
      <pubDate>Thu, 25 Sep 2025 09:30:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2597131</guid>
    </item>
    <item>
      <title>SMART Curbs: City of San José’s Curb Digitization and Management Pilot</title>
      <link>https://trid.trb.org/View/2596714</link>
      <description><![CDATA[In San José’s Greater Downtown, the curb has become one of the city’s most contested spaces. Over 530,000 daily trips funnel into a limited right-of-way where delivery drivers, transit riders, micromobility users, businesses, and residents all compete for access. Outdated curb rules have not kept pace with this demand, leading to congestion, safety concerns, and inefficiencies. In response, the City launched SMART Curbs: San José’s Curb Digitization and Management Pilot (2023–2025) to test new tools and establish an innovative model for modern curb management. San José’s curb management strategy is guided by three goals: (1) increase efficiency by using real-time analytics to reduce congestion and wait times; (2) enhance economic competitiveness by improving turnover and delivery reliability, supporting Downtown recovery; and (3) improve safety by reallocating space to reduce conflicts and advance Vision Zero. The Stage 1 pilot served as a proof-of-concept to build the City’s first comprehensive curb inventory, test emerging technologies, and integrate data into a centralized platform. The pilot, focused on Greater Downtown, was carried out with support from the Open Mobility Foundation’s Curb Collaborative, technology vendors Umojo, Sony, and IPS, the community engagement firm PlaceWorks, and Fresh Lifelines for Youth (FLY), which supported workforce recruitment and training. Together, these partners delivered 140 miles of curb scanned via LiDAR, the deployment of 164 cameras and 23 sensors, and the launch of the NexCity platform with Curb Data Specification (CDS)-compliant  Application Programming Interfaces (APIs). Extensive community engagement also identified key priorities of loading, safety, and signage clarity. The pilot confirmed that large-scale curb digitization and management are feasible and that a CDS- compliant platform can serve as a foundation for future operations. Just as importantly, it gave San José a clear understanding of what scaling requires. The City gained hands-on experience with procurement, vendor relationships, interdepartmental coordination, hardware trade-offs, software integration, and data governance. By addressing both technology challenges and institutional hurdles San José is now equipped with the knowledge needed to move Stage 2 forward with confidence.]]></description>
      <pubDate>Thu, 25 Sep 2025 09:30:18 GMT</pubDate>
      <guid>https://trid.trb.org/View/2596714</guid>
    </item>
    <item>
      <title>Developing Guidance on Leading Pedestrian Intervals and Curb Extensions to Improve Pedestrian Safety at Signalized Intersections</title>
      <link>https://trid.trb.org/View/2593958</link>
      <description><![CDATA[Improving pedestrian safety continues to be critically important to Oregon Department of Transportation's (ODOT's) mission to provide a safe and reliable multimodal transportation system. Approximately 920 pedestrians were injured, and 78 pedestrians were killed in Oregon each year between 2016 and 2020. Some of these pedestrian-vehicle crashes occur at intersections, where agencies have installed either geometric or operational countermeasures to improve pedestrian safety. Leading Pedestrian Intervals (LPI) allow pedestrians to start their crossing prior to conflicting vehicles. Curb extensions improve the visibility of pedestrians to drivers, shorten the crossing distance, and slow turning vehicles. ODOT uses both options to improve pedestrian safety but guidance is lacking to optimally evaluate and select these options (separately or in combination).]]></description>
      <pubDate>Thu, 28 Aug 2025 15:00:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/2593958</guid>
    </item>
    <item>
      <title>COVID Street Cafés: Assessing Policy Windows in Five North American Cities</title>
      <link>https://trid.trb.org/View/2566969</link>
      <description><![CDATA[Problem, research strategy, and findings: Cities experimented with street design to address health and economic impacts of the COVID pandemic between 2020 and 2023. Scholars have suggested that COVID represented a window of opportunity to transform aspects of urban planning, but the degree to which emergency interventions portend longer-term changes requires study. This study focused on street cafés as one of the more significant COVID-era street transformations. Street cafés are allocations of space in the cartway for outdoor dining. They introduce a social use to street space while increasing the complexity of managing street space. To assess the idea that the COVID crisis was a window of opportunity, the authors conducted a comparative case study of COVID street café programs in five North American cities. They drew on 16 interviews and analysis of policy documents to examine how street café programs were implemented, how they adapted existing policy and institutions, and whether their implementation represented a policy punctuation. Despite common objectives, implementing COVID street café programs played out differently in each case city. Urban form, existing policy, administration of emergency programs, and café design and experimentation all affected outcomes. These COVID-era programs led to one city initiating a new street café program; in two other cities, they accelerated implementation of recent policy initiatives, and the experience in the final two cities was ambiguous. Takeaway for practice: This research highlights the importance of recently adopted street policy in shaping emergency response. Although installation of COVID street cafés was widespread, planners will have to renegotiate emergency actions taken to lessen regulatory, administrative, and financial hurdles to café implementation to sustain viable street café programs in the long run.]]></description>
      <pubDate>Thu, 07 Aug 2025 08:55:03 GMT</pubDate>
      <guid>https://trid.trb.org/View/2566969</guid>
    </item>
    <item>
      <title>Point Cloud Feature Extraction for ADA Ramp Compliance Assessment</title>
      <link>https://trid.trb.org/View/2576291</link>
      <description><![CDATA[Automation can play a prominent role in improving efficiency, accuracy, and scalability in infrastructure surveying and assessing construction and compliance standards. This report presents a comprehensive framework for automation of geometric measurements and compliance assessment using point cloud data. The proposed approach integrates deep learning-based detection and segmentation with classical geometric and signal processing techniques to automate surveying tasks. The framework is applied to assess Americans with Disabilities Act (ADA) compliance of curb ramps, demonstrating the utility of point cloud (PC) data for automatic ramp extraction, segmentation, and calculation of geometric measurements. The method leverages a new large annotated dataset of ramps, facilitating robust deep model training and evaluation. Experimental results, including manual field-based and PC-based measurements of several ramps, validate the accuracy and reliability of the proposed method across various scenarios, highlighting its potential to significantly reduce manual effort and improve consistency in infrastructure assessment. Beyond ADA compliance, the proposed framework establishes a foundation for broader applications in surveying and automated evaluation of construction infrastructure, paving the way for more widespread adoption of point cloud data in engineering automation.]]></description>
      <pubDate>Wed, 06 Aug 2025 15:00:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/2576291</guid>
    </item>
  </channel>
</rss>