United States Department of Transportation
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Virtual Barriers for Mitigating and Preventing Run-off Road Crashes, Phase I [Supporting Dataset]
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2018-10-19
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Corporate Contributors:University of Nebraska. Mid-America Transportation Center ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Highway Administration ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Edition:Final Report: 2017-2018
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Abstract:Run off road (ROR) crashes account for approximately 30% of all fatal vehicular crashes since 2014. These crashes result in billions of dollars in cost to society in terms of injury (treatment and hospitalization), lost productive work hours, increased traffic congestion, emergency response, reporting, and repairs to infrastructure due to impacts. Many recently-produced vehicles have driver assist systems (ADAS) that help the vehicle stay in the lane and prevent these types of crashes. However, these systems have significant limitations. The objective of this project is to develop a “Virtual Barrier” that communicates with vehicles to help the vehicle navigate the roadway. The first phase of this project consisted of a thorough review of technologies used in smart vehicles and connected systems. These areas include: sensors, filtering techniques, vehicle detection, and path prediction; physics and methods of controlling vehicles during transit; vehicle-to-everything (V2X) communications; and cybersecurity. Most smart vehicle systems are not connected to any external data source. Decision-making for vehicle controls and path prediction are done locally (on the vehicle) using optical recognition (photographic), radar, lidar, and sonic measurements to optimize the path. Some extravehicular communication techniques have been utilized successfully, but to date, implementation is limited.
The total size of the described file is 23 MB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. Text files can be view in notepad or any document reading software.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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