Connected Car Technologies Improve Productivity
Connected car technologies promise to make the car more personal and the driver more productive.
Phil Eyler, president of HARMAN, a leading provider of connected car technology, says “drivers want an immersive, more personalized experience in the car. This includes meeting the increasing demand for improved productivity.” Of course companies with existing and emerging connected car technologies are eagerly responding by ramping up innovation cycles and production schedules.
The most widespread approach to creating richer productivity is by transforming the vehicle into a work environment via communication platforms. These platforms read email and texts aloud, and then enable the driver to respond through voice commands. Drivers can also use voice recognition to manage their calendars and to access conference calls. In essence, these platforms turn long, wasteful commutes into productive time by making the car another place for getting things done.
The timing of these productivity applications could not be better. While the public has generally accepted congested roadways, extended commutes and periodic gridlock as a way of life, they desperately seek solutions to help balance their hectic schedules – and driving often wastes time as well as resources. In a study conducted by the Intelligent Transportation Systems Joint Program, U.S. highway users were wasting nearly 4.8 billion hours a year stuck in traffic. That’s almost equivalent to missing one full week of work for every driver. Connected mobility applications, paired with vehicle connectivity, will allow traffic levels to be monitored, analyzed and rerouted, thereby reducing travel time. Other issues drawing the attention of connected car companies is fuel waste and the consequential impact on the environment. The Texas Transportation Institution shows that since the year 2000 the amount of fuel wasted has nearly doubled from 2 billion to 3.9 billion gallons. Consequently, connected car technologies and environmental application developer are coming together in order to identify routes that allow for the most efficient travel. This minimizes fuel waste, extends the vehicle’s service interval, and helps keep cars operating at peak performance.
Just Around the Curve: Adaptive Learning
Advanced analytics and big data will be used to create new, adaptive learning applications in vehicles that are similar to enterprise models. In the near-term, analytical systems will track fuel purchases, commonly visited areas, driving habits and much more. This type of behavioral analytics will empower manufacturers and developers to create a more personalized experience as the car “gets to know” its driver.