The growing U.S. population, strong economy, and low fuel prices have increased traffic congestion causing the average commuter to waste 42 hours stuck in traffic jams per year according to a 2015 Texas Transportation Institute report. And the traffic jam doesn’t seem to be clearing up any time soon.
What if you had a navigation assistance technology that could provide the best route based on traffic influencing events, such as social media and historical traffic patterns? In the 2016 J.D. Power U.S. Tech Choice StudySM, consumers were asked their interest level in this Predictive Traffic technology along with what they would pay. Results show that 56% of Gen Y is willing to pay market price vs. 39% of Gen X.
Find out what other generations think of Predictive Traffic and what they are willing to pay, including performing analysis by Make, in the 2016 J.D. Power U.S. Tech Choice StudySM, which releases on April 28th. The study will examine 43 technologies and concepts, including Predictive Traffic, to measure consumer’s awareness, interest, and price elasticity of future and emerging technologies by vehicle make and consumer demographic. The study also provides consumer interest in emerging concepts such as alternative mobility solutions, cybersecurity threats, and trust in automated technologies. To better understand the data surrounding these technologies, and for more information on the other emerging and future technologies that it covers, click here.