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Title: Net-social and Net-private Benefits of Some Existing Vehicle Crash Avoidance Technologies
Accession Number: 01698102
Record Type: Component
Abstract: Most light-duty vehicle crashes occur due to human error. Many of these crashes could be avoided or made less severe with the aid of crash avoidance technologies. These technologies can assist the driver in maintaining control of the vehicle when a possibly dangerous situation arises by issuing alerts to the driver and in a few cases, responding to the situation itself. This paper estimates the social and private benefits and costs associated with three crash avoidance technologies, blind-spot monitoring, lane departure warning, and forward-collision warning, for all light duty passenger vehicles in the U.S. for the year 2015. The three technologies could collectively prevent up to 1.6 million crashes each year including 7,200 fatal crashes. In this paper, the authors estimate the net-social benefits to the overall society from avoiding the cost of the crashes while also estimating the private share of those benefits that are directly affecting the crash victims. For the first generation warning systems, net-social benefits and net-private benefits are positive. Moreover, the newer generation of improved warning systems and active braking should make net-benefits even more advantageous.
Supplemental Notes: This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation.
Report/Paper Numbers: 19-01100
Language: English
Corporate Authors: Transportation Research BoardAuthors: Khan, AbdullahHarper, CoreyHendrickson, Chris TSamaras, ConstantinePagination: 7p
Publication Date: 2019
Conference:
Transportation Research Board 98th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Uncontrolled Terms: Geographic Terms: Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Society; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2019 Paper #19-01100
Files: TRIS, TRB, ATRI
Created Date: Dec 7 2018 9:46AM
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