Virtual Barriers for Mitigating and Preventing Run-off Road Crashes, Phase I

Jacome, Ricardo; Sweigard, Michael; Stolle, Cody S.; University of Nebraska--Lincoln. Nebraska Transportation Center; University of Nebraska-Lincoln, Outdoor Test Site

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Virtual Barriers for Mitigating and Preventing Run-off Road Crashes, Phase I

2018-11-01
Datasets Available
By Jacome, Ricardo ; Sweigard, Michael ; Stolle, Cody S.

[PDF-2.79 MB]

English

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Details:

Creators:

Jacome, Ricardo ; Sweigard, Michael ; Stolle, Cody S.

Jacome, Ricardo ; Sweigard, Michael ; Stolle, Cody S. Less -
Corporate Creators:

University of Nebraska--Lincoln. Nebraska Transportation Center ; University of Nebraska-Lincoln, Outdoor Test Site

University of Nebraska--Lincoln. Nebraska Transportation Center ; University of Nebraska-Lincoln, Outdoor Test Site Less -
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

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 Less -
Subject/TRT Terms:

[+]

Automated Vehicle Control Barriers (Roads) Computer Security Connected Vehicles Driver Support Systems Mobile Communication Systems Ran Off Road Crashes Sensors Vehicle Detectors Vehicle Trajectories
Publication/ Report Number:

MATC-UNL: 004-21, 25-1121-0005-004-21
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report: 2017-2018
Corporate Publisher:

University of Nebraska-Lincoln. Mid-America Transportation Center
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.
Format:

PDF
Funding:

69A3551747107
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:cff7c0a0092ae250559a90ee9aa2b5463f425e171493b485ca3f1faf12afb01c
Download URL:

https://rosap.ntl.bts.gov/view/dot/64352/dot_64352_DS1.pdf
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No Additional Files

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Virtual Barriers for Mitigating and Preventing Run-off Road Crashes, Phase I

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