摘要: |
Run off road (ROR) crashes account for approximately 30% of all fatal vehicular crashes since 2014. These crashes result in billions of dollars in cost to society in terms of injury (treatment and hospitalization), lost productive work hours, increased traffic congestion, emergency response, reporting, and repairs to infrastructure due to impacts. Many recently-produced vehicles have driver assist systems (ADAS) that help the vehicle stay in the lane and prevent these types of crashes. However, these systems have significant limitations. The objective of this project is to develop a 鈥淰irtual Barrier鈥?that communicates with vehicles to help the vehicle navigate the roadway. The first phase of this project consisted of a thorough review of technologies used in smart vehicles and connected systems. These areas include: sensors, filtering techniques, vehicle detection, and path prediction; physics and methods of controlling vehicles during transit; vehicle-to-everything (V2X) communications; and cybersecurity. Most smart vehicle systems are not connected to any external data source. Decision-making for vehicle controls and path prediction are done locally (on the vehicle) using optical recognition (photographic), radar, lidar, and sonic measurements to optimize the path. Some extravehicular communication techniques have been utilized successfully, but to date, implementation is limited. |