Estimation of Safety Benefits for Heavy-Vehicle Crash Warning Applications Based on Vehicle-to-Vehicle Communications
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2017-11-01
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NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS;NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Crash Prevention and Safety;NTL-SAFETY AND SECURITY-Highway Safety;
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Abstract:This report presents a general methodology to estimate the crash avoidance effectiveness of vehicle-to-vehicle (V2V) safety applications for heavy vehicles and project their potential annual safety benefits. The report also describes the application of this methodology and the results for three selected crash warning applications: intersection movement assist, forward crash warning, and blind spot/lane change crash warning. The safety benefits are projected in terms of annual reductions in the number and comprehensive cost of police-reported crashes that involved multiple vehicles, including at least one heavy vehicle. The methodology relies on target baseline crash populations obtained from the 2011- 2013 General Estimates System crash database; driver/vehicle/application performance data from a National Advanced Driving Simulator study; naturalistic driving data from the Integrated Vehicle-Based Safety System field operational test; and on the Safety Impact Methodology tool that simulates the basic kinematics of driving conflicts and driver/vehicle response. In applying this methodology, it is assumed that all heavy vehicles are equipped with the three selected V2V safety applications and that all other motor vehicle body types (e.g., passenger cars, motorcycles, etc.) are equipped with V2V vehicle awareness devices that transmit basic safety information to heavy vehicles.
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