Given the number of computers residing in modern vehicles, it is no wonder that they generate a large amount of data during their operation. That data is used by the vehicle to facilitate its operation in real-time, but when aggregated and analyzed over long periods of time, that same data can be utilized in a myriad of ways to enhance road safety and user experience. Indeed, analysis of the data generated by vehicles is a valuable undertaking, offering both real-time and long-term benefits to consumers.
With an increasing number of sensors being used to assist drivers during travel, vehicles have the ability to learn about their environments during operation. For self-driving and other drive-assist functions, data on the locations of obstacles is a given, however the same tools used for these services can also provide data such as road conditions, wind speeds, precipitation status and traffic conditions. Vehicles receiving this data, if communicating with a common cloud server, can share information about their mutual environment to shorten commutes and increase safety. Even simple knowledge of the vehicle’s weight during operation can allow for optimization of the car’s performance, saving fuel and time for the user.
Despite the seemingly endless use-cases for vehicular data analysis, there are still some hurdles that need to be overcome. The sensitivity of the data collected is one such example, with studies showing that while users are more likely to share “objective” data such as road conditions and the technical status of their vehicles, they are more reluctant to share more personalized data such as personal driving preferences or GPS data. The personal value of this data cannot be undermined, and legislation is quickly taking steps to enforce its sanctity. Recognizing this, Trillium is dedicated to providing GDPR (and other future legislation) compliant data management technology that preserves the privacy, confidentiality and anonymity of all consumer data it manages. Without such a solution in place, the monetization of consumer vehicle data will never become the $500 billion industry it is destined to be.