Paul Green thinks that automotive design engineers ought to include the elderly in their safety and usability evaluations of telematic devices for navigation and communication. The senior research scientist from the University of Michigan says that older drivers need more time to make driving maneuvers, but the time required for telematics is even greater. "Much larger differences are found responding to warnings, entering data, and reading displays," he says. Studies indicate that 1) drivers aged 65 to 75 years take 40% longer to respond to warnings than drivers 18 to 30; 2) older drivers take 33–100% longer to read maps; and 3) older drivers use nearly 80% more time to enter information into a navigation system. For more information, visit the University's website at www.umich.edu.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.