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Simulators used in vehicles to prevent accidents
Simulators used in vehicles to prevent accidents






simulators used in vehicles to prevent accidents

The interior is a near replica of the inside of patrol cars Chattanooga officers use every day, Lt. David Young said during a recent media briefing.

simulators used in vehicles to prevent accidents

The new 元Harris PatrolSim simulator, which cost the department $130,700, is made of a driver's seat facing a dashboard, steering wheel and laptop in front of a panel of screens. "The majority of the accidents occur while we are en route to calls for service," Sutton said during an interview at the department last week. Most accidents involving patrol cars are minor, Assistant Chief Jerri Sutton said. Thirty-two officers and civilians were hurt in those accidents, according to the department. It spent around $3.4 million on maintenance in 2021, data shows, and just under $5 million in 2020. The Police Department has 616 cars in its fleet, most of them marked patrol cars.īetween 20, Chattanooga patrol cars were involved in 362 accidents, department data shows - 150 in 2022, 116 in 2021 and 96 in 2020. In 2022, the department spent more than $5 million maintaining patrol cars, according to data obtained through a public records request. Chattanooga police are hoping a new driving simulator unit, to be used for training, will help lower maintenance costs for patrol cars and reduce the number of accidents involving officers. In addition, the research team conducts qualitative research through focus groups and national surveys to assess the knowledge and comfort level of young drivers with ADAS and automated technologies.CHATTANOOGA, Tenn. Data analysis of the Strategic Highway Research Program 2 (SHPR2) Naturalistic Driving Study is allowing the team to investigate 1,500 real life crashes, many of them involving teens. The multidisciplinary research team utilizes CIRP’s Advanced Driving Simulator, which can emulate semi-autonomous and self-driving vehicles, to study the human factors at play when transitioning from one driving mode to the next in both day-to-day driving or in an emergency situation. This crash avoidance and autonomous vehicles research is becoming increasingly important, especially regarding human factors. The CIRP research team focuses on a particularly vulnerable population – teen drivers – and how they interact with ADAS when behind the wheel.Īs self-driving and semi-autonomous vehicles enter US roadways, CIRP researchers are also investigating new safety challenges for child passengers when riding in self-driving cars or autonomous vehicles. Self-driving and Highly Autonomous Vehicles are widely anticipated to be the future of automotive safety, and CIRP is conducting crash avoidance and autonomous vehicles research to keep drivers and passengers safe.Ĭurrent commercially-available vehicles are increasingly automated with Advanced Driver Assistance Systems (ADAS) including Forward Collision Warning and Lane Departure Warning, and automated features such as Automatic Emergency Braking.








Simulators used in vehicles to prevent accidents