Seniors key to automated driving future

A new study by the Traffic Injury Research Foundation (TIRF) suggests senior drivers in Canada could play a leadership role in the safe adoption of semi-automated vehicles as Canadian roadways transition from traditional vehicles to increasingly automated vehicles. Canada The study, Foundation, funded analyzed by the Toyota data regarding the knowledge, attitudes and practices of senior drivers collected from focus groups, as well as an online survey of 2,662 Canadians. The TIRF study was conducted to better understand the perceptions and attitudes of older drivers towards semi-automated vehicles, and to understand how their knowledge and beliefs about such vehicles can influence the likelihood they will rely on this technology to improve their safety on the road and increase their mobility. Results of the study showed that older drivers recognize the potential of semi-automated technology to increase their safety on the road and instil greater confidence in their ability to drive under challenging conditions that are typically avoided. They also recognize that this technology can enhance mobility among older drivers, helping them to safely prolong their driving years and mitigate errors associated with age-related factors such as perceptual, cognitive and physical declines that can degrade their ability to perform common driving manoeuvres. The study concluded that this cohort of drivers is very receptive to strategies and tools that help them learn and mobility in to ways use benefits. that semi-automated maximize safety vehicles Canadians aged 65 years and older currently represent one in seven Canadians. In the next two decades, the population of seniors will grow to more than 10 million and will account for one in four Canadians. As one of the largest age cohorts, older adults will represent a significant segment of the driving population. Senior drivers are also among the safest drivers because of their accumulated years of driving experience and exposure to all types of road environments and conditions.