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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Research in Progress (RIP)</title>
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      <title>Assessment of hydroplaning potential in coastal regions using roadway characteristics and related datasets</title>
      <link>https://rip.trb.org/View/2663101</link>
      <description><![CDATA[Hydroplaning is a critical pavement safety concern that occurs when a layer of water builds up between the vehicle's tires and the pavement surface, leading to a loss of traction and vehicle control. It is a significant contributor to wet-weather crashes and thereby poses a serious challenge to highway safety, especially for coastal regions where rainfall is more abundant and more frequent. Hydroplaning risk assessment fundamentally depends on the integration of multiple diverse datasets that reflect the interaction among crash occurrences, pavement conditions, and vehicle dynamics. These data items are typically recorded in different datasets maintained by various owners or agencies, each with their unique collection methods and standards. This research will develop data-driven likelihood models based on a verification check of the reliability of the important data variables, and a fusion of the available history data from diverse data sources to assess hydroplaning risks for coastal highways. The proposed research will also develop recommendations to be considered for roadway design and construction in association with wet-weather accident reduction procedures for transportation agencies.]]></description>
      <pubDate>Thu, 29 Jan 2026 17:13:08 GMT</pubDate>
      <guid>https://rip.trb.org/View/2663101</guid>
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    <item>
      <title>Evaluating the Influence of Vehicle Active Safety Technologies on Roadway Departures </title>
      <link>https://rip.trb.org/View/2558379</link>
      <description><![CDATA[Advanced driver assistance systems (ADAS), such as automatic emergency braking (AEB), lane departure warning (LDW), lane keeping assist (LKA), and electronic stability control (ESC), have become increasingly prevalent in the U.S. vehicle fleet. However, it remains uncertain how ADAS technologies affect vehicle dynamics during roadway departure crashes, including those involving roadside safety hardware. For example, AEB systems, which are designed to reduce rear-end crashes, may also reduce approach speeds during impacts with breakaway devices or trigger hard braking that compresses a vehicle’s front suspension, lowering the front bumper before it impacts a barrier. Likewise, LDW and LKA may influence the frequency and departure angles of roadway departure crashes.

Research is needed to better understand how ADAS technologies influence passenger vehicle roadway departures and impact conditions, and whether updates to the American Association of State Highway and Transportation Officials (AASHTO) Manual for Assessing Safety Hardware (MASH) or other publications are warranted.

The objective of this research is to quantify how current ADAS technologies in passenger vehicles influence roadway departures, impact conditions, vehicle interaction with roadside safety hardware, and the performance of roadside safety hardware systems. ]]></description>
      <pubDate>Thu, 29 May 2025 12:38:47 GMT</pubDate>
      <guid>https://rip.trb.org/View/2558379</guid>
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      <title>RES2023-24: Informed Safety, Mobility and Driver Comfort Enhancement Practices for Work Zones</title>
      <link>https://rip.trb.org/View/2480317</link>
      <description><![CDATA[This study leverages high-fidelity observational data to analyze driver behavior and vehicle dynamics within work zones (WZs) on Tennessee’s interstate highways, aiming to evaluate critical aspects of safety, mobility, and driver comfort. Data were collected over several months from global positioning system (GPS), IMU sensors, and video recordings on commercial  vehicles traveling through two active WZs on I-40 near Jackson, Tennessee. By using precise, sensor-based measurements of speed, acceleration, heading, and lane position, this research offers a detailed, real-time perspective on how WZ conditions influence driver behavior. The observational data reveal distinct patterns, such as increased speed variability and frequency of lane changes within WZs, which are indicative of driver discomfort and potential evasive actions. The analysis also shows that specific WZ configurations, including barrier placement and lane narrowing, impact driver response differently across locations, underscoring the importance of tailored Temporary Traffic Control (TTC) strategies. This study suggests that by leveraging high-fidelity data, traffic 
management can adopt more adaptive measures—such as dynamic speed feedback and improved visual guidance—to enhance safety and driving experience in WZs. The findings contribute to a deeper understanding of driver-vehicle interaction under varying WZ conditions, offering valuable insights for future WZ design and management.]]></description>
      <pubDate>Fri, 03 Jan 2025 12:03:13 GMT</pubDate>
      <guid>https://rip.trb.org/View/2480317</guid>
    </item>
    <item>
      <title>Performance-Based Superelevation Design Criteria



</title>
      <link>https://rip.trb.org/View/2381751</link>
      <description><![CDATA[Advances in the automobile industry, along with the introduction of automated and electric vehicles, have changed vehicle dynamics when navigating curves, particularly in superelevation transitions and fully superelevated sections. Side friction factors based on older vehicle models may no longer align with modern vehicles, vehicle dynamics technologies such as electronic stability control, tire technologies, and pavement surface courses.

Given the advancements in the vehicle fleet, alternative design models should be evaluated for their ability to account for factors such as grade and acceleration/deceleration. Research is needed to update superelevation design criteria based on the impact of these advancements to ensure that horizontal curve designs meet or exceed the safety and performance standards required by modern vehicles and roads.

The objective of this research is to develop performance-based superelevation design criteria. The criteria shall be based on the interaction between vehicles and horizontal curves, performance measures related to safety and user comfort, and acceptable design and construction tolerances.]]></description>
      <pubDate>Thu, 23 May 2024 10:24:25 GMT</pubDate>
      <guid>https://rip.trb.org/View/2381751</guid>
    </item>
    <item>
      <title>Occupant Safety Performance Response and Parametric Study of Pre-Crash Vehicle Maneuvers</title>
      <link>https://rip.trb.org/View/2050270</link>
      <description><![CDATA[This research will acquire scaled human body models to match subjects in field trials]]></description>
      <pubDate>Tue, 25 Oct 2022 10:24:34 GMT</pubDate>
      <guid>https://rip.trb.org/View/2050270</guid>
    </item>
    <item>
      <title>Children’s Use of eHMI Displays to Guide Road-Crossing Decisions</title>
      <link>https://rip.trb.org/View/1853630</link>
      <description><![CDATA[Autonomous vehicle (AV) technology is advancing at a rapid pace. One concern is how AVs will communicate their intentions to vulnerable road users such as pedestrians. Past work has focused almost exclusively on how adults respond to various types of electronic human-machine interface (eHMI) AV displays. The goal of this investigation is to examine how 8- to 14-year-old children respond to the combination of eHMI display cues and vehicle dynamics cues that signal the intention of an AV to yield to them at a crosswalk. In one condition, the timing of the eHMI cues will be early (i.e., the light will turn green at the time the vehicle begins to decelerate) and in the other condition, the timing of the eHMI cues will be late (i.e., the light will turn green at the time the vehicle comes to a stop). The task for participants is to cross between the two vehicles when they think the tail vehicle will yield to them. The primary measure will be how long children wait before initiating their crossing after the first vehicle passes them. The research team expects that vehicle dynamics and eHMI timing may interact such that there will be less difference in children’s responding to vehicles that slow down gradually vs. abruptly when the eHMI comes on early than when it comes on late. This project will provide new information about how child pedestrians interpret and respond to eHMI information that can be used for designing eHMIs that effectively communicate with pedestrians of all ages.]]></description>
      <pubDate>Mon, 24 May 2021 11:54:18 GMT</pubDate>
      <guid>https://rip.trb.org/View/1853630</guid>
    </item>
    <item>
      <title>Virtual Barriers for Mitigating and Preventing Run-off-Road Crashes – Phase I

</title>
      <link>https://rip.trb.org/View/1522941</link>
      <description><![CDATA[Vehicle-to-infrastructure (V2I) communication will be used to broadcast a roadway geometry, the vehicle’s position on the roadway, and information about the vehicle’s orientation and trajectory with respect to the roadway. Information will be supplied to onboard sensor and vehicle dynamics prediction algorithms to estimate future vehicle trajectory, and supply warnings to drivers if the vehicle begins to drift off of the roadway or is traveling too fast for an upcoming roadway curve.
This form describes year 1 of a 5-year project. Research products at the end of year 1 are expected to be a thorough literature review of vehicle safety sensors and processing techniques, path prediction algorithms, V2I communications, and preliminary investigations of challenging applications for safety (split-mu braking tests).]]></description>
      <pubDate>Tue, 10 Jul 2018 11:52:27 GMT</pubDate>
      <guid>https://rip.trb.org/View/1522941</guid>
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