<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TRB Publications Index</title><link>http://pubsindex.trb.org/</link><atom:link href="http://pubsindex.trb.org/common/TRIS Suite/feeds/rss.aspx?cdatein=1month&amp;sortby=recordcreateddate&amp;sortdir=desc" rel="self" type="application/rss+xml" /><description></description><language>en-us</language><copyright>Copyright © 2015. 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>TRB Publications Index</title><url>http://pubsindex.trb.org/Images/PageHeader-wTitle.png</url><link>http://pubsindex.trb.org/</link></image><item><title>Exploring Cellular-Based Private Wireless Networks for the U.S. Aviation Industry</title><link>http://pubsindex.trb.org/view/2712235</link><description><![CDATA[Every industry, including aviation, is increasingly moving toward digital transformation, with promising solutions in areas such as automation and smart facilities. A private wireless network (PWN) provides wireless connectivity to people and devices, whether stationary or in motion within the network’s coverage area. Because a PWN is based on proven mobile technology, it can offer at least the same level of performance and security as public networks that have been trusted worldwide for years. As a private network, it enables airport operators to enhance performance and security. ACRP Research Report 282, produced by the Transportation Research Board's (TRB’s) Airport Cooperative Research Program (ACRP), addresses key considerations related to the conceptualization, planning, design, deployment, and management of PWNs. It is intended to educate and guide airport operators as they evaluate options for achieving ubiquitous and reliable connectivity. The report provides strategic insights into areas such as ownership, monetization, procurement, financing, innovation, and future expansion. In this guide, mobile technology refers to what has long been known as cellular technology.]]></description><pubDate>Tue, 09 Jun 2026 10:56:02 GMT</pubDate><guid>http://pubsindex.trb.org/view/2712235</guid></item><item><title>Addressing Travel Needs of Women and Families on Public Transportation</title><link>http://pubsindex.trb.org/view/2712232</link><description><![CDATA[Many women’s travel experiences relate directly to their disproportionate share of caregiving responsibilities. Travelers supervising dependents are more likely to need access to multiple destinations and may have more belongings in tow. Because dependents are unlikely to be commuting adults, travel during off-peak hours is more common, and paying multiple fares can increase the financial burden. Additionally, safety is a greater concern for women, both when they are traveling alone and when they are traveling with dependents, especially children. TCRP Research Report 265, produced by the Transportation Research Board's (TRB’s) Transit Cooperative Research Program, presents a set of practical tools to help transit agencies better understand their riders, use existing data more effectively, assess how well they are serving women and families, build internal support for these efforts, and identify service planning, vehicle, and station design strategies that benefit women and families. The eight tools are organized into three stages: Understand Your Riders, Build Internal Capacity, and Deploy Your Tactics.]]></description><pubDate>Tue, 09 Jun 2026 10:56:02 GMT</pubDate><guid>http://pubsindex.trb.org/view/2712232</guid></item><item><title>DOT and FAA Airport Legal Determination and Opinion Letter Abstracts of 2024</title><link>http://pubsindex.trb.org/view/2709408</link><description><![CDATA[U.S. airports that receive assistance from the federal government are required to comply with a number of obligations imposed by federal law. The Transportation Research Board (TRB) Airport Cooperative Research Program’s ACRP Web-Only Document 68: DOT and FAA Airport Legal Determination and Opinion Letter Abstracts of 2024 covers case-specific guidance from U.S. Department of Transportation (U.S. DOT) or Federal Aviation Administration (FAA) on various federal airport compliance matters released since the previous update to ACRP Legal Research Digest 21. This document includes guidance on exclusive rights, fee and rental structures, and the standards for determining airport sponsor compliance with other federal obligations. This document is supplemental to ACRP Legal Research Digest 21: Compilation of DOT and FAA Airport Legal Determinations and Opinion Letters as of December 31, 2024, which contains agency determinations covering administrative cases brought against large and small airports throughout the United States, as well as DOT and FAA opinion letters, memoranda, and related documents. These documents cover legal matters that include reasonableness of contractual terms, leasing practices, airport rules and regulations, airport charges imposed on aeronautical users, including airlines, and the standards for determining airport sponsor compliance with other federal obligations.]]></description><pubDate>Tue, 09 Jun 2026 10:56:02 GMT</pubDate><guid>http://pubsindex.trb.org/view/2709408</guid></item><item><title>Exploring Cellular-Based Private Wireless Networks: Summary</title><link>http://pubsindex.trb.org/view/2712236</link><description><![CDATA[Every industry, including aviation, is increasingly moving toward digital transformation, with promising solutions in areas such as automation and smart facilities. A private wireless network (PWN) provides wireless connectivity to people and devices, whether stationary or in motion within the network’s coverage area. Because a PWN is based on proven mobile technology, it can offer at least the same level of performance and security as public networks that have been trusted worldwide for years. As a private network, it enables airport operators to enhance performance and security. ACRP Research Results Digest 29, produced by the Transportation Research Board's (TRB’s) Airport Cooperative Research Program (ACRP), is a shorter, condensed version of ACRP Research Report 282: Exploring Cellular-Based Private Wireless Networks for the U.S. Aviation Industry. Both publications address key considerations related to the conceptualization, planning, design, deployment, and management of PWNs. They are intended to educate and guide airport operators as they evaluate options for achieving ubiquitous and reliable connectivity. The reports provide strategic insights into areas such as ownership, monetization, procurement, financing, innovation, and future expansion. In these reports, mobile technology refers to what has long been known as cellular technology.]]></description><pubDate>Tue, 09 Jun 2026 10:56:01 GMT</pubDate><guid>http://pubsindex.trb.org/view/2712236</guid></item><item><title>Developing Combined Crash Modification Factors: Challenges, Lessons Learned, and Recommendations</title><link>http://pubsindex.trb.org/view/2712015</link><description><![CDATA[Combining crash modification factors (CMFs) often involves merging multiple CMFs to establish a unified CMF for either the same safety treatment or the overall effect of implementing multiple safety treatments simultaneously. This paper reports the combined CMF results for five safety countermeasures: change signal phasing, convert intersection to roundabout, install bicycle lane, change shoulder width, and change posted speed. More importantly, this paper discusses four challenges from the effort to create combined CMFs from the CMFs available in the CMF Clearinghouse that are related to CMF applicability, CMFs of different magnitudes with some showing a safety improvement and some showing non-improvement, the need of information beyond the CMF Clearinghouse, and issues with multiple CMFs from the same study. Based on the lessons learned, the paper also provides suggestions to mitigate these challenges in future research efforts to create combined CMFs, as well as recommendations to researchers who develop CMFs so that key information is reported and made available to facilitate similar work in the future.]]></description><pubDate>Tue, 09 Jun 2026 10:54:11 GMT</pubDate><guid>http://pubsindex.trb.org/view/2712015</guid></item><item><title>Evaluation of Healing Potential of Asphalt Mixtures Modified with Nanoparticle-Enhanced Binders</title><link>http://pubsindex.trb.org/view/2712014</link><description><![CDATA[This study investigates the fatigue and healing performance of asphalt mixtures incorporating nanoparticle-modified binders, using nanoclay and nanosilica. Two binders (PG 58-28 and PG 76-22) were selected to assess their effect on healing behavior. Asphalt mixtures were prepared using granite aggregates and UFGS Gradation 3, then subjected to mechanical and simulation-based evaluations. Cyclic fatigue testing was conducted using the asphalt mixture performance tester at 25°C, with a strain amplitude of 800 microstrains and a loading frequency of 10 Hz. To simulate in-service conditions, 10- and 20-minute rest periods were introduced after 25% of the specimen’s estimated fatigue life, representing early stage fatigue damage accumulation. Healing was quantified by comparing the number of cycles to failure (Nf) before and after rest period. Dynamic modulus testing and FlexPAVE™ simulations were also performed to assess viscoelastic behavior and long-term pavement performance. Results showed that both nanoclay and nanosilica modified mixtures exhibited notable improvements in fatigue life relative to the control, with nanoclay modified mixtures achieving the highest fatigue life improvement, while nanosilica modified mixtures demonstrated consistent intermediate gains across both binder types. FlexPAVE™ simulations indicated a 37% reduction in total fatigue damage over 20 years for nanoclay-modified mixtures with rest periods. Rutting and cracking resistance also improved significantly, as observed from indirect tensile asphalt cracking test and asphalt pavement analyzer tests. The findings confirm that nanomodification, especially with nanoclay, enhances the intrinsic healing capacity, fatigue resistance, and durability of asphalt mixtures. Incorporating rest periods in design further optimizes long-term performance, offering a sustainable strategy for modern pavement systems.]]></description><pubDate>Tue, 09 Jun 2026 10:54:11 GMT</pubDate><guid>http://pubsindex.trb.org/view/2712014</guid></item><item><title>Optimization of Elderly Meal Delivery Routes Considering Heterogeneity</title><link>http://pubsindex.trb.org/view/2711996</link><description><![CDATA[With the intensification of aging, smart elderly care increasingly plays an irreplaceable role in alleviating the pressure of elderly care. Providing meal delivery services for the elderly with the help of smart tools could help solve the dining problems of the elderly. Considering heterogeneity within the elderly population, this paper considers those who have meals at home and those who choose to eat at community service centers—the two dining locations encompassing different time windows. This study investigated the path optimization problem of the joint delivery of elderly meals by trucks and robots. At the same time, it considered the battery capacity of the robots and constructed a mixed-integer programming model to minimize the total cost of the system. For large-scale problems, an improved adaptive large neighborhood search algorithm was used, which integrated the ant colony algorithm to solve them. The investigation confirmed the feasibility and effectiveness of the algorithm. Based on the research results, this paper offers management and key stakeholders practical guidance for implementing elderly meal delivery.]]></description><pubDate>Tue, 09 Jun 2026 10:54:11 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711996</guid></item><item><title>Medium-Term Oven Aging and Rapid Medium-Term Oven Aging for the Implementation of Balanced Mix Design</title><link>http://pubsindex.trb.org/view/2711995</link><description><![CDATA[The selection of an appropriate long-term laboratory aging protocol for implementing balanced mix design remains a concern within the asphalt industry. In this study, two different loose mix aging protocols were applied: medium-term oven aging (MTOA) and rapid medium-term oven aging (RMTOA). MTOA protocol involved loose mix aging for 20 h at 100°C, whereas a temperature of 135°C was considered for RMTOA for a quick turnaround time. To determine the equivalent aging duration for RMTOA to produce similar aging effects as MTOA, six different asphalt concrete mixes containing reclaimed asphalt pavement (RAP) and recycling agents (RA) were oven aged at different aging temperatures and durations. Aging indices of the binders extracted from these mixes were applied to the Arrhenius equation to obtain the activation energy for different mix types. Despite the mixes differing in binder sources (four refineries) and RAP contents (up to 40%), the activation energy ranged narrowly between 68.1 kJ/mol to 72.9 kJ/mol. The use of Arrhenius activation energy suggested that around 3 h at 135°C laboratory aging (RMTOA) simulated the similar aging parameters of MTOA protocol (20 h at 100°C). In the second stage of this study, indirect tensile IDEAL cracking tolerance tests were performed on both RMTOA- and MTOA-aged specimens. Seven different AC mixes containing RAP and RA were considered to characterize the age-related cracking performance after MTOA and RMTOA. The ANOVA analysis indicated that two aging procedures (MTOA and RMTOA) are expected to produce similar effects on the IDEAL-CT results.]]></description><pubDate>Tue, 09 Jun 2026 10:54:11 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711995</guid></item><item><title>Modeling Older Adults’ Motorized Travel Mode Choice with Autonomous Vehicles: Random-Parameter Logit Approach</title><link>http://pubsindex.trb.org/view/2711994</link><description><![CDATA[This study examines older adults' motorized travel mode choices in the context of autonomous mobility, with particular attention to how technology acceptance and digital competencies shape preferences for private autonomous vehicles (PAVs) and shared autonomous vehicles (SAVs). A mixed-mode stated-preference survey was conducted in Wuhan, China, in May 2022. The final sample included 734 respondents aged 60 years and above, each completing three choice tasks, yielding 2,202 observations across four alternatives: PAV, SAV, metro, and bus. A random-parameter logit model was estimated to capture preference heterogeneity. The results show significant random taste heterogeneity in travel cost, in-vehicle time, and walking/waiting time, with part of this heterogeneity associated with socioeconomic characteristics such as age, income, car ownership, and driving license status. Among technology acceptance constructs, attitude was positively associated with both PAV and SAV choice, perceived usefulness was positively related to SAV choice, while perceived ease of use showed a negative association with autonomous vehicle alternatives. Digital competency indicators had differentiated effects, with social and financial internet use being particularly relevant to SAV choice. Elasticity analysis further indicates that time components, especially in-vehicle time, are key determinants of older adults' autonomous mode selection. These findings provide evidence for age-friendly autonomous mobility strategies emphasizing reliability, reduced travel-time burdens, and inclusive digital support.]]></description><pubDate>Tue, 09 Jun 2026 10:54:11 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711994</guid></item><item><title>Analysis of the Effect of Seat Rotation on Occupant Chest Injury in Autonomous Vehicles during Crashes</title><link>http://pubsindex.trb.org/view/2711993</link><description><![CDATA[This study analyzes the impact of rotational seat protection on occupant chest injuries during crashes in SAE Level 4 and Level 5 autonomous vehicles. All seat rotations discussed are specifically about rotation around the vehicle’s z-axis (vertical axis). Three models were established: a conventional seatbelt multirigid body, a new seatbelt multirigid body, and a THUMS (Total HUman Model for Safety) chest skeleton finite element model. Eight typical z-axis seat-rotation crash scenarios were examined. Four indicators, including occupant kinematic response, combined thoracic index, chest injury risk, and chest stress, assessed the chest injuries. The experiments indicated that z-axis rotational seat protection for conventional seats led to higher chest injuries for occupants in the seat-rotation crash conditions. The new type of seat with leg baffles and foot support was found to effectively improve the occupant’s chest safety in the precrash stage, that is, the seat-rotation stage, and the protection afforded was not limited by the rotation direction or -angle; this met the requirements for autonomous vehicles, and is of great significance for the improvement of autonomous vehicle precrash safety.]]></description><pubDate>Tue, 09 Jun 2026 10:54:10 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711993</guid></item><item><title>Shipping-Freight Forecasting with Multi-Domain Features: Role of News Sentiment</title><link>http://pubsindex.trb.org/view/2711987</link><description><![CDATA[The shipping market is complex and nonlinear, which makes freight-rate forecasting highly challenging. This study proposes an STE-Informer model that integrates a multisource feature set. First, we collect 120,000 shipping-news articles from several major industry websites and use the FinBERT model to extract sentiment features, capturing market-sentiment fluctuations. Second, we apply technical analysis to construct a set of technical indicators, exploring the intrinsic information embedded in freight indices. Third, we incorporate economic features to reflect the impact of global economic conditions and external shocks on the shipping market. Finally, we integrate sentiment, technical, and economic features into a multidimensional feature matrix and employ the Informer deep neural network for freight-index forecasting. The results show three key findings: (1) short-term sentiment provides the best predictive performance, improving accuracy by 10%–70% compared with medium- and long-term sentiment; (2) the multisource feature set reduces mean squared error by 76.9%, 83.1%, 88.2%, and 92.5% across four shipping markets, respectively, relative to the no-feature baseline Informer(N); (3) the proposed STE-Informer model achieves the best overall performance in shipping-index prediction, ranking first in forecasting the Baltic Dry Index and Baltic Dirty Tanker Index.]]></description><pubDate>Tue, 09 Jun 2026 10:54:10 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711987</guid></item><item><title>VPMambaNet: Breaking Limits in Roadside Three-Dimensional Vehicle Detection via Hybrid Voxel–Pillar Modeling and Mixed-Scan State Space Model for Intelligent Traffic Management</title><link>http://pubsindex.trb.org/view/2711986</link><description><![CDATA[Accurate three-dimensional (3D) vehicle detection in roadside light detection and ranging (LiDAR) point clouds is critical for intelligent transportation systems, as it enhances traffic efficiency, strengthens safety management, and supports vehicle–road-cloud collaboration. This paper addresses key challenges in this context: uneven point cloud density, limitations of single-modality representations (voxel-based feature diffusion, pillar-based vertical information loss), and inefficient long-range dependency modeling. We propose VPMambaNet, a novel model integrating three core innovations: (1) a voxel–pillar hybrid representation with dual-path architecture, leveraging voxels’ vertical detail preservation and pillars’ efficient coverage of sparse regions; (2) the hybrid scan state space module, a cascaded state-space module with Hilbert and cross scans for hierarchical local-to-global modeling with linear complexity; (3) the neighborhood attention extension-based voxel–pillar fusion module, enabling progressive cross-modal integration. Experiments on DAIR-V2X-I show VPMambaNet outperforms state-of-the-art methods by 1.11%–2.21% in average precision across difficulty levels, with stronger gains in complex scenarios. Ablation and qualitative analyses validate its robustness to sparse point clouds, long-range targets, and annotation noise. VPMambaNet provides an efficient, accurate solution for roadside 3D vehicle detection, directly supporting practical transportation applications such as real-time traffic monitoring and autonomous driving collaboration.]]></description><pubDate>Tue, 09 Jun 2026 10:54:10 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711986</guid></item><item><title>Modeling Behavioral Intentions Toward Autonomous Vehicles: Expanding the Technology Acceptance Model</title><link>http://pubsindex.trb.org/view/2711985</link><description><![CDATA[This study examines the factors influencing individuals’ intention to use autonomous vehicles. As autonomous vehicle technology continues to develop rapidly, understanding the determinants of user acceptance has become increasingly important. This research adopts a quantitative approach and integrates the technology acceptance model (TAM) with additional variables to develop a comprehensive framework explaining behavioral intention toward autonomous vehicles. Data were collected from 397 Malaysian respondents using purposive sampling based on three criteria, including Malaysian citizenship, possession of a valid driving license, and no prior experience with autonomous vehicles. The data were analyzed using SmartPLS. The results indicate that perceived usefulness, perceived ease of use, attitude, environmental concern, perceived risk, and personal innovativeness significantly influenced individuals’ intention to use autonomous vehicles. In contrast, perceived benefit, perceived safety, and compatibility were found to have no significant effect on behavioral intention. These findings provide valuable insights for policymakers and industry stakeholders in developing public awareness initiatives, safety guidelines, and regulatory frameworks to support the adoption of autonomous vehicle technology.]]></description><pubDate>Tue, 09 Jun 2026 10:54:10 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711985</guid></item><item><title>Durability and Microstructural Performance of Self-Compacting Concrete Made with Recycled Aggregates</title><link>http://pubsindex.trb.org/view/2711984</link><description><![CDATA[The present study investigates the durability and microstructural behavior of self-compacting concrete (SCC) made with recycled aggregates (RA) under aggressive environmental conditions, including sulfate, acid, and chloride attacks. Three RA replacement ratios (0%, 50%, and 100%) were examined. The study evaluates the influence of RA on the chemical resistance of SCC, supported by microstructural analysis using scanning electron microscopy and energy-dispersive X-ray spectroscopy. The results reveal that RA content influences the performance of SCC in aggressive environments. Under sulfate exposure, the mix with 100% RA showed higher expansion rates (96% in magnesium sulfate and 53% in sodium sulfate) compared with the control mix (64% and 24%, respectively). Similarly, in acid environments, the 100% RA mix exhibited greater mass loss (12.6% in sulfuric acid and 9.2% in hydrochloric acid) than the control mix (7% and 5.7%, respectively). Furthermore, chloride penetrability increased with RA content, as evidenced by a higher charge passed, from 3,378 coulombs for the control mix to 4,586 coulombs for the 100% RA mix at 28 days. Microstructural analysis identified the formation of expansive products such as ettringite and gypsum in sulfate-exposed samples, while acid exposure led to the formation of calcium chloride and non-expansive salts, contributing to material changes. The study highlights that attached mortar play a significant role in the behavior of SCC under aggressive conditions. These findings demonstrate that RA can be effective when used in SCC, though careful consideration of its properties is essential to ensure performance in challenging environments.]]></description><pubDate>Tue, 09 Jun 2026 10:54:10 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711984</guid></item><item><title>Enhancing Rail Obstacle Detection Systems: Optimizing Accuracy in Adverse Weather Conditions</title><link>http://pubsindex.trb.org/view/2711639</link><description><![CDATA[Railway safety is paramount, especially with the increasing reliance on rail transport and the potential for catastrophic consequences from train colliding with obstacles. This paper introduces a novel obstacle detection methodology using Convolutional Neural Networks (CNNs) to enhance detection accuracy, particularly for diverse and unforeseen obstacles, including wildlife intrusion, under challenging environmental conditions. We employ the state-of-the-art (You Only Look Once) YOLOv11-Seg algorithm for simultaneous rail segmentation and obstacle detection, defining a critical safety margin around the tracks. A key contribution of this work is a novel synthetic image generation algorithm designed to address the critical scarcity of real-world obstacle data, particularly for rare and unpredictable hazards such as animals and uncharacterized debris. This algorithm strategically places various obstacles, extracted from diverse sources, at random locations on the rail or within the safety margin. Crucially, it incorporates diverse and realistic environmental conditions, such as train vibrations, rain, snow, dust, fog, and varying light intensities to augment the training data and improve the model’s robustness against these highly transient events. Experimental results demonstrate the effectiveness of the YOLOv11-Seg network, trained on our synthetically augmented data set, in accurately performing both segmentation and obstacle detection in a single step, paving the way for improved railway safety systems.]]></description><pubDate>Fri, 05 Jun 2026 11:27:53 GMT</pubDate><guid>http://pubsindex.trb.org/view/2711639</guid></item></channel></rss>