15:25 | 07/02/2017 Society
(VEN) - Imagine a day when stress associated with these uncertainties is reduced to help drivers easily and safely navigate through busy intersections in congested cities. That day may soon be here as Ford begins testing in China a number of driver-assist technologies aimed at leveraging the benefits of vehicle-to-vehicle and vehicle-to-infrastructure communications.
Testing will begin in February for technologies under development including “Left Turn Assist” and “Traffic Light Optimal Speed Advisory.” Ford will conduct the tests at the Shanghai International Automobile City.
With 280 million vehicle owners, China has become the world’s largest automobile market, but is also confronting worsening traffic congestion throughout the country. According to data from Shanghai United Road Traffic Safety Scientific Research Center, 89 percent of side impact accidents in China take place at intersections, reflecting an acute need for collision avoidance technology and features that contribute to a less stressful driving experience.
“Asking ourselves what would make drivers’ lives less stressful, we continuously explore new features that can help them navigate through traffic more easily and safely,” said Trevor Worthington, Ford vice president, Product Development, Asia Pacific. “The Shanghai International Automobile City provides a setting where we are able to develop, test and refine future connected vehicle technologies. We will simulate some of the challenging conditions, knowing that most cars on the road at this time will not be connected. We look forward to using the facility to continue our pursuit of providing a safer and more pleasant driving experience.”
Left Turn Assist is a feature that uses information exchanged between vehicles to alert drivers of oncoming traffic while making a left turn. It offers an added layer of safety against collision risk in the event the driver’s view is blocked or compromised. Traffic Light Optimal Speed Advisory smartly connects a vehicle to road infrastructure, which enables it to time traffic light data and recommend drivers on a speed range that will optimize fuel economy and traffic flow.