This report examines the potential for Intelligent Vehicle Highway System (IVHS) technology to improve the crash avoidance capability of drivers and vehicles for backing crashes. IVHS has the potential to greatly enhance highway traffic safety. This report attempts to determine the safety implications of IVHS by using analytical methods to model the backing crash type and potential IVHS crash avoidance countermeasures. The causal assessments show that approximately 87.0% of the cases occurred because drivers were unaware of (did not see or did not check for) the struck vehicle, object, or pedestrian. Of the causal factors which appear to be amenable to IVHS countermeasures in the near term, the main causal factor appeared to be that the backing vehicle's driver was unaware of an obstacle. This suggested that a vehicle-based IVHS countermeasure that warns drivers of obstacles in the backing path might be helpful. The suggested countermeasure was a rear-zone object detection system. It is estimated that the functional rear-zone object detection system would be approximately 70% effective in avoiding the parallel path, curved path, and pedestrian/pedalcyclist crash subtypes. In terms of all backing crash subtypes, the system would be approximately 28% effective. (Author/publisher)
Samenvatting