Risk Analysis Using Crash and Near-Crash Data Finds a 26 Percent Reduction in Likelihood of a Crash Involving Severe Injuries in a Connected Vehicle Versus a Vehicle with More Traditional Line of Sight System.

Analysis of Nationwide Naturalistic Driving Dataset Implies Safety Benefits for Connected Vehicle Technologies.

Date Posted
04/24/2023
Identifier
2023-B01740
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Impacts of Connected Vehicle Technology on Automated Vehicle Safety

Summary Information

According to the National Highway Traffic Safety Administration (NHTSA) statistics, nearly half of the crashes in the U.S. that resulted in injury occurred at intersections. Connected Vehicle Technologies (CVT) have the potential to improve safety when line-of-sight (LOS) of drivers are obstructed. In this regard, this study used crash and near-crash events from the Second Strategic Highway Research Program Naturalistic Driving Study (SHRP2 NDS) that contains naturalistic driving data, including video data of the forward view, Host vehicle (HV) speed data, HV yaw rate data, and Global Positioning System (GPS) data. Data was collected through November 2013 to reconstruct crash events so that the benefit of LOS systems and CVT could be compared. 

METHODOLOGY

The study utilized the SHRP2 NDS database that consisted of over 5.5 million trips driven by 3,542 drivers across six sites in the U.S. First, relevant events from the database were identified, and then position and kinematic data were extracted from the identified events. After that, a kinematic model of event was developed for the simulation to be able to perform risk analysis and compare potential safety benefits. Events were identified where CVT could provide a potential benefit compared to LOS systems. In total, a final set of 68 crash and near crash events were identified to carry forward in the analysis. The study calculated the minimum required deceleration to avoid a collision, the activation time difference between the systems, and the probability that at least moderate injuries would result from this crash event. A surrogate safety measure was used at each analyzed event and an injury risk model was used to predict the probability of a severe injury given the delta-v value of the subject vehicle involved in a crash.

FINDINGS

  • The study found that the LOS system required an average of 2.95 m/s2 higher deceleration than the CVT system to prevent potential crashes.
  • Analysis of 68 events showed that the CVT system provided more than 0.25 seconds of additional reaction time in 57.4 percent of cases.
  • On average, the CVT system provided an additional 0.45 seconds of notification compared to LOS regarding a potential threat.
  • The results implied that three quarters (75 percent) of crashes (assuming braking only) could be avoided using LOS features whereas nine out of ten (90 percent) could be eliminated if the vehicles had CVT, which translated to a 15 percent improvement in favor of CVT.
  • The study found that vehicles with CVT systems were associated with an average 26 percent reduction in the likelihood of a crash involving severe injury compared to those with LOS systems.
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