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    <title>Research in Progress (RIP)</title>
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    <atom:link href="https://rip.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Research in Progress (RIP)</title>
      <url>https://rip.trb.org/Images/PageHeader-wTitle-RIP.jpg</url>
      <link>https://rip.trb.org/</link>
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    <item>
      <title>Eastern States Institutional Issues Study for Commercial Vehicle Operations</title>
      <link>https://rip.trb.org/View/2616148</link>
      <description><![CDATA[The objective is to fund work orders that support: (1) a regional commercial vehicle operations (CVO) forum program; (2) automated data entry and access for safety information; and (3) prototype integration of EZ Pass and CVO Automated Vehicle Identification (AVI) requirements.]]></description>
      <pubDate>Tue, 28 Oct 2025 19:35:54 GMT</pubDate>
      <guid>https://rip.trb.org/View/2616148</guid>
    </item>
    <item>
      <title>Addressing Safety and Security Challenges in ML-based AV Software Stack - Remote Operation Support and Balancing Trade-offs</title>
      <link>https://rip.trb.org/View/2425174</link>
      <description><![CDATA[In this work, the research team proposes a framework that enables safe and secure human remote operation when AV systems require support due to the inherent limitations of ML models used. The team develops an approach that can effectively detect and mitigate potentially malicious remote human operators, and satisfy the real-time requirements of remote operation despite possibly variable network conditions impacting the communication channel between the AV system and the remote operator. The solution will be demonstrated on the Mcity 2.0 testbed as a means to validate the proposed design in realistic settings.
]]></description>
      <pubDate>Wed, 04 Sep 2024 17:18:52 GMT</pubDate>
      <guid>https://rip.trb.org/View/2425174</guid>
    </item>
    <item>
      <title>Real Time Track and Vehicle Health Monitoring through Rail-mounted Load Quantification Smart Sensors</title>
      <link>https://rip.trb.org/View/2093174</link>
      <description><![CDATA[The University of Illinois at Urbana-Champaign will partner with four transit agencies to install and demonstrate smart sensing technology that is deployable on any rail transit mode. The project will primarily focuses on the final development and deployment of very small (2-3 inch) rail-mounted smart sensing modules that provide real-time information on both vehicle health and the loading conditions placed on the track structures.  The proposed smart sensors technology are cost effective and can be more widely deployed to develop further predictive analytics of the overall fleet monitoring and health of track structures.]]></description>
      <pubDate>Tue, 03 Jan 2023 13:53:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/2093174</guid>
    </item>
    <item>
      <title>Concepts for ADS Fleet Operations Monitoring to Enhance Safety.</title>
      <link>https://rip.trb.org/View/2050306</link>
      <description><![CDATA[Examine potential automated driving system (ADS) fleet management, maintenance, auditing, inspections, data collection, and reporting practices to maintain safe operations. This research program would explore all aspects of ADS fleet operations and develop options around oversight requirements needed to protect public’s best interest.  Simply put: what should ADS fleet mangers be doing to mitigate risk .....by knowing, would help inform what oversight role is needed by Government. (maybe this gets done after project 181).  Some references to FAA and aviation industry.  And FMCSA processes.]]></description>
      <pubDate>Tue, 25 Oct 2022 10:24:52 GMT</pubDate>
      <guid>https://rip.trb.org/View/2050306</guid>
    </item>
    <item>
      <title>Protecting Critical Civil Infrastructure Against Impact from Commercial Vehicles – Phase 3, A Systems Based Approach Including Fire</title>
      <link>https://rip.trb.org/View/1943999</link>
      <description><![CDATA[This proposal will expand on work completed for M05 by: (1) Analytically investigate the performance of uncoated and FRP/polyurea-coated single and multiple bridge pier columns, and the entire bridge system subjected to combined blast, impact, and fire loads, with, pressure, temperature and material response time-histories being investigated. (2) Completing advanced computational studies that include representative bridge system response to vehicle impact and air blast before and after fire exposure to ascertain system effects on robustness. (3) Improving and expanding upon Phase 1 and 2 recommendations and design aids based on results from items 1 and 2. Project deliverables include enhanced aids/guidelines along with modified code language.]]></description>
      <pubDate>Mon, 25 Apr 2022 19:28:11 GMT</pubDate>
      <guid>https://rip.trb.org/View/1943999</guid>
    </item>
    <item>
      <title>Training to Improve Situational Awareness Regarding Operational Design Domain in Driving Automation Systems</title>
      <link>https://rip.trb.org/View/1593717</link>
      <description><![CDATA[Though many believe that driving automation systems can properly function in all conditions or situations, all vehicles that are level 0 through 4 have a very specific operational design domain. When the driving automation system reaches the limit of its operational design domain, drivers may experience unexpected driving automation system behavior. Training programs that provide drivers with an experience of the system limitations and allow them to practice dealing with such limitations can prove effective as countermeasures to unexpected driving automation system behavior. The objective of this proposed research is to develop and test a training program that aims to improve situation awareness of the events which precede the point in time when a level 2 driving automation system has reached the edge of its operational design domain.]]></description>
      <pubDate>Wed, 20 Mar 2019 09:25:43 GMT</pubDate>
      <guid>https://rip.trb.org/View/1593717</guid>
    </item>
    <item>
      <title>Noise Reduction Analysis of Advanced Operational Procedures</title>
      <link>https://rip.trb.org/View/1549377</link>
      <description><![CDATA[Project will evaluate the noise reduction potential from advanced operational procedures in the arrival and departure phases of flight.]]></description>
      <pubDate>Fri, 21 Sep 2018 18:23:25 GMT</pubDate>
      <guid>https://rip.trb.org/View/1549377</guid>
    </item>
    <item>
      <title>Evaluation of Comparative Damaging Effects of Multiple Truck Axles for Flexible Pavements
</title>
      <link>https://rip.trb.org/View/1467211</link>
      <description><![CDATA[The objective of this project is to develop a strain measurement dataset that will allow revisiting pavement response under in-service traffic for the purpose of quantifying pavement damage under various truck/axle configurations.  In addition, the pavement layer properties from the instrumented pavement site will allow comparing the measured versus estimated strains using conventional layer visco-elastic techniques.  It involves installation of an instrumented site, laboratory characterization of the asphalt concrete properties at the site and finite element method (FEM) simulation of the pavement responses.  The outcome will benefit pavement designers and road authorities that levy permit fees for commercial vehicles.  ]]></description>
      <pubDate>Sun, 21 May 2017 13:49:34 GMT</pubDate>
      <guid>https://rip.trb.org/View/1467211</guid>
    </item>
    <item>
      <title>Partial Automation for Truck Platooning</title>
      <link>https://rip.trb.org/View/1441804</link>
      <description><![CDATA[The safety, mobility and environmental impacts which are side affects of the current transportation system will continue to worsen as the population and vehicle miles traveled (VMT) continue to increase.  For many reasons, conventional solutions can only partially address the numerous challenges associated with transportation.  Technologies combining information technology, sensing systems, and communications can be used to automate the driver-vehicle-highway system and have the potential for transformational changes.  Commercial vehicles because they are highly regulated.   For example, human error is a major factor in around 90 percent of crashes.  Humans are very good at complex tasks but are not as good at paying attention (distracted driving).  Machines on the other hand are not as good at complex tasks in an uncontrolled environment such as highway driving but do not get distracted and are therefore very good at staying alert.  Congestion relief is another area where technology development can have huge impact.  Vehicle to vehicle or infrastructure to vehicle communications when added to automating truck speed and spacing can as much as double throughput capacity.    Automation can safely maintain or increase the mobility of the elderly and physically challenged populations by supplementing or taking over portions of the driving task.]]></description>
      <pubDate>Wed, 04 Jan 2017 10:52:59 GMT</pubDate>
      <guid>https://rip.trb.org/View/1441804</guid>
    </item>
    <item>
      <title>Portable and Integrated Multi-Sensor System for Data- Driven Performance Evaluation of Urban Transportation Networks</title>
      <link>https://rip.trb.org/View/1425030</link>
      <description><![CDATA[In urban areas, obstructions of traffic such as double parking, commercial vehicle deliveries, pedestrian jaywalking, taxi pick-ups and drop-offs, are potential impediments to road capacity and vehicular speed, and causes traffic delay as well as safety risks. In 2014, double parking violation had 502,082 ticketed cases in New York City according to New York City Department of Finance (NYCDOF) records. New York City and many urban areas need to keep track of the impacts of these violations on their transportation system as well as on the residents of the city. Hence there is a strong need to develop robust methodologies to monitor these activities and analyze their potential impacts that can be in the form of longer travel times, crashes, emissions, or noise pollution. Due to the advances in sensors and computing, obtaining information related to the parking, individual vehicle or pedestrian trajectories has become remarkably feasible. Video cameras coupled with computer vision algorithms can provide very accurately, detect, track and classify vehicles. Similarly relatively inexpensive mobile sensors for measuring noise and emission levels have also become commercially available. However, integrated inexpensive multi-sensor solutions that combine these sensing solutions are not yet commercially available.]]></description>
      <pubDate>Mon, 03 Oct 2016 16:46:51 GMT</pubDate>
      <guid>https://rip.trb.org/View/1425030</guid>
    </item>
    <item>
      <title>FAST DASH Safety Technology Evaluation Project #2: Driver Monitoring</title>
      <link>https://rip.trb.org/View/1400162</link>
      <description><![CDATA[The second FMCSA's Advanced System Testing utilizing a Data Acquisition System on the Highways (FAST DASH) program evaluation involved a controlled test on the Virginia Smart Road and a naturalistic field test with a CMV fleet. The evaluated monitoring technology varied significantly from other OBMS strategies. Using vehicle kinematic and network data, accelerometers, and a global positioning system (GPS), but no video, the OBMS identified unacceptable behavior and provided feedback to the driver, aiming to correct the offending behavior within a given period of time. Examples of such behaviors included speeding (based on the posted speed limit or other preset criteria), driving aggressively (based on kinematic sensors), and lack of seatbelt use (also based on sensors). If the speed or seatbelt violation was corrected within the allowable period (speed reduced or seatbelt fastened), no violation (i.e., infraction identified by the system) was recorded. The system also monitored idling and approximated fuel usage.]]></description>
      <pubDate>Wed, 02 Mar 2016 15:08:34 GMT</pubDate>
      <guid>https://rip.trb.org/View/1400162</guid>
    </item>
    <item>
      <title>Evaluation of the Impact of Changes to the Hours-of-Service Rules Governing Commercial Motor Vehicle Drivers</title>
      <link>https://rip.trb.org/View/1400161</link>
      <description><![CDATA[The objective of this project was to determine whether changes to the hours-of-service (HOS) rules have had any impact on commercial motor vehicle (CMV) safety, carrier productivity and cost, and the U.S. highway system. The Agency was primarily interested in examining data before and after the HOS rule changes and the impact of the rule changes on safety, driver schedules and productivity, cost of trucking, and measures of highway system performance. A report detailing study findings was submitted to the Agency for review.
]]></description>
      <pubDate>Wed, 02 Mar 2016 14:53:52 GMT</pubDate>
      <guid>https://rip.trb.org/View/1400161</guid>
    </item>
    <item>
      <title>Crash Risks by Commercial Motor Vehicle (CMV) Driver Schedules, Phase I</title>
      <link>https://rip.trb.org/View/1400159</link>
      <description><![CDATA[The objective of this project was to collect hours-of-service (HOS) and crash data to analyze how HOS provisions are being used and the impact of driver schedules on crash risk. The Federal Motor Carrier Safety Administration (FMCSA) conducted a study that evaluated the impact of driving hours, working hours, and breaks on safety critical events (SCEs) (Blanco, M., et. al., 2011). The study included 99 drivers who drove a total of 700,000 miles, during which naturalistic driving video and data were collected. That study found that (1) as the number of driving hours increased, so did the number of SCEs, (2) when evaluating the interaction between driving and non-driving work, a much greater time-on-task effect emerges for drivers driving late in their work shift, and (3) driving breaks decrease risk in the hour after a break. The present study collected additional data to answer important questions related to driver schedules and how these factors impact overall driver performance and fatigue. This study is being completed in phases.  In Phase I, the research team collected HOS and crash data. In Phase II, the research team will use the data collected in Phase I to analyze crash risk as it relates to various aspects of the HOS provisions. This study will analyze: (1) relative crash risk by hour of driving; (2) relative crash risk by hour of driving per week; (3) relative crash risk of driving breaks; (4) relative crash risk as a function of recovery periods; and (5) how each of the HOS provisions is being used.
In addition, the study will design, develop, and deliver a database so that the data collected in this study can be used for future research efforts. A database of the HOS and crash data for use in future research efforts. 
]]></description>
      <pubDate>Wed, 02 Mar 2016 13:49:55 GMT</pubDate>
      <guid>https://rip.trb.org/View/1400159</guid>
    </item>
    <item>
      <title>Commercial Motor Vehicle Driver Restart Study</title>
      <link>https://rip.trb.org/View/1400154</link>
      <description><![CDATA[The study compared 5-month work schedules and assessed SCEs (e.g., crashes, near-crashes, and crash-relevant conflicts), operator fatigue/alertness, and short-term health outcomes among CMV drivers operating under a 1-night rest period versus drivers operating under a rest period with 2 or more nights. The study also analyzed the safety and fatigue effects on CMV drivers who had less than 168 hours between their restart periods and those drivers who had at least 168 hours between their restart periods. Drivers were recruited from small, medium, and large fleets across a variety of operations (long-haul, short-haul, and regional) and different sectors of the industry (flat-bed, refrigerated, tank, and dry-van). FMCSA would like to thank the many CMV drivers and companies who volunteered to participate in this study.

The study used data collected from:

Electronic logging devices (ELDs) (which tracked drivers’ time on duty).
Psychomotor Vigilance Tests (PVTs) (which measured alertness).
Actigraph watches (which assessed sleep).
Camera-based onboard monitoring systems (which recorded or measured SCEs and driver alertness).
Smartphone-based self-report questionnaires that measured sleepiness, stress, hours slept, and caffeine intake.
A study plan, which was peer-reviewed by a panel of independent experts with relevant medical and scientific qualifications, was published in April of 2015. The final report and findings underwent a similar independent peer review. The Secretary submitted an outline of the study’s scope and methodology to the U.S. Department of Transportation (USDOT) Inspector General. The Secretary also submitted the final report to the Inspector General.The study uses data collected from:
•	Electronic logging devices (ELDs) (which track drivers’ time on duty).
•	Psychomotor Vigilance Tests (PVTs) (which measure alertness).
•	Actigraph watches (which assess sleep).
•	Camera-based onboard monitoring systems (which record or measure SCEs and driver alertness).
•	Smartphone-based self-report questionnaires that measure sleepiness, stress, hours slept, and caffeine intake.
An initial study plan, which was peer-reviewed by a panel of independent experts with relevant medical and scientific qualifications, was published in March of 2015. The final report and findings will undergo a similar independent peer review. The Secretary submitted an outline of the study’s scope and methodology to the U.S. Department of Transportation (USDOT) Inspector General. The Secretary will also submit the final report to the Inspector General.
]]></description>
      <pubDate>Wed, 02 Mar 2016 13:30:00 GMT</pubDate>
      <guid>https://rip.trb.org/View/1400154</guid>
    </item>
    <item>
      <title>Case Study of Mexico's Third-Party Entry-Level Driver Training (ELDT) Program for Commercial Vehicle Operators</title>
      <link>https://rip.trb.org/View/1400148</link>
      <description><![CDATA[The objective of this project was to document lessons learned for assisting the Federal Motor Carrier Safety Administration (FMCSA) in the development of an entry-level driver training (ELDT) program in the United States using a third-party system. 
Effective October 1, 2012, the Moving Ahead for Progress in the 21st Century Act (MAP-21), in Section 32304, Commercial Motor Vehicle Operator Training, mandated that FMCSA issue a final rule on ELDT programs and that it cover all commercial driver’s license (CDL) drivers. FMCSA is separately gathering research information on the effectiveness of different types and amounts of ELDT. The proposed process in the 2007 Notice of Proposed Rulemaking (NPRM) for delivering ELDT is via third-party schools. There is information available from Mexico’s implementation of a third-party process for training commercial drivers. The United States’ acceptance of a Mexican Licencia Federal (LF) dates back to November 21, 1991, when the Office of Motor Carrier Safety in the Federal Highway Administration (FHWA) and the Dirección General de Autotransporte Federal (DGAF) in the Secretaria de Comunicaciones y Transportes (SCT) determined mutually that Mexican CDLs are comparable to U.S. CDLs and entered into a Memorandum of Understanding (MOU) establishing the comparability. FMCSA is in the process of updating this MOU by revisiting the numerous revisions that have occurred in the CDL programs of both countries. Since the execution of that MOU, the Mexican program has changed the licensing program from a federally staffed operation to a private third-party school operation. This project involved conducting a literature review of ELDT methods and analyzing Mexico’s experience using a third-party approach for ELDT programs to document lessons learned. A final report containing documentation of the Mexican experience and results from development and implementation of an ELDT program using a third-party approach is pending publication. ]]></description>
      <pubDate>Wed, 02 Mar 2016 12:09:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/1400148</guid>
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