Detection and Warning Systems for Wrong-Way Driving.

摘要

Arizona’s wrong?way crash data were compiled from 2004 through 2014 and show that 245 wrong?way crashes occurred with 91 fatalities over the 11?year period. Approximately 65 percent of the wrong?way drivers in the Arizona crashes were documented as impaired. Arizona’s statistics align with the national average showing that approximately 60 percent of wrong?way drivers are impaired. Until impaired driving is significantly lessened, wrongway driving will continue to occur. However, technology might provide a means to reduce wrong?way crashes by alerting authorities instantly of the errant driver’s entry and tracking the errant vehicle’s exact location on the highway system, giving law enforcement the knowledge needed to stop the vehicle before a crash occurs. This research developed a conceptual system to detect a wrong?way driver upon entry, inform the errant driver of their mistake, notify the ADOT Traffic Operations Center (TOC) and law enforcement instantly, track the wrong?way vehicle on the highway system, and warn right?way drivers in the vicinity of the oncoming vehicle. The proposed design would integrate readily available technologies with the existing freeway management system (FMS) infrastructure. To integrate these technologies and devices would require the development of customized software for wrong?way detection