Nokia uses big data to make driving safer

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; In an office in Berkeley, California, Nokia employees can watch how users drive.      Nokia collects 21 billion data points per month from the driver by using GPS in a portable navigation device, using a navigation system in a car, or using data from smartphone applications. Don't worry, Nokia will not collect any information about you.     Each GPS data point does not disclose any information about the user, including its starting point or destination. From a Nokia perspective, the real value comes from looking at big Data views and figuring out how most drivers deal with road problems.     The data collected is used in Nokia's Advanced Driver Assistance System (ADAS) program, which will give your car a warning in the future when it encounters danger, weather events, or other hazards on the road.     Jane Macfarlane, head of Nokia's office, showed CNET several examples of how the company uses geographic data. Earlier this year, the toll booths on the Golden Gate Bridge were switched to an electronic toll collection system.     With a charging system called FasTrak already in place, the camera catches a license plate at the toll station and sends the owner a toll bill. To see how the new system is making traffic easier, Nokia is focused on observing the data collected by the Golden Gate Bridge toll station in the days before the change policy and after the change.     The driver once needed full pocket change, the charge clerk also broke 20 dollars, now becomes the quick circulation toll mouth, as long as the reduction speed is OK.     The data collection attests to the success of the new billing system, which has led other bridge and highway departments to take an interest in the introduction of electronic charges. To help visualize the data, Macfarlane displays a video that shows each of the devices on the road that has been activated, as well as a survey by Nokia, a mobile vehicle on the bridge, and changing colors to show how fast the vehicle is moving. For other regions, Macfarlane can also point to large numbers of anomalies found in cities or on repeated congested highways.  And the public can use this information to plan better roads.


     Large data also covers car data. Nokia also analyzed data from Eindhoven in the Netherlands about how drivers deal with road problems. Focusing on a special corner of the road near Eindhoven, McFarlane produced different videos to watch the mobile traffic. The location data shows how the sports car is running and the driver starts to brake before turning.      Further research has found that the driver produces lateral gravity when turning, and Nokia can offer an average of the comfort zone for most drivers.      for future concepts, carmakers can also implement the Nokia Adas program, integrating similar Adas road data. So the car may warn the driver with a flash, showing the safe average speed of the turn. In the same way, automated vehicles can be used to approximate humans through data, simulate how humans are driven, and provide passengers with a more comfortable environment and skilled operational experience. McFarlane,      who worked in GM's OnStar department, also knows the value of car data needs to be sourced. She says Nokia's vision for the future is to deliver data to the car, like using wipers and headlights to send data to the cloud. Most cars have their own windshield and wipers in a particular area, which can herald storms, one analyst said. Other cars can receive this information and inform the driver of the need to avoid moving to the area.      Currently, most of the Nokia here traffic data can navigate the system to help drivers avoid getting stuck in traffic jams. The data is used for Bing and Yahoo Maps, and of course the app is Nokia here Maps.