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How AI may be the key to reducing various types of auto accidents

The reasons why Texas drivers make certain choices behind the wheel vary, but they often relate to things such as driver experience or distraction. Studies have found that a majority of auto accidents are the result of human error, and it is possible that studying driver behavior could be a key component in preventing certain types of crashes. One way to do this is by looking at data collected by artificial intelligence systems integrated into vehicles. This is something that is already in use in many trucking fleets.

One company recently announced that it has developed a system that that will study and learn a driver’s behavior. It claims that this system is able to predict behavior, which, in turn, allows the system to help prevent crashes. When the system notices something out of the ordinary or detects behaviors that may indicate distraction or other potentially dangerous behaviors, it can alert the driver through in-car alerts and notifications.

This system was designed to improve safety for commercial fleets. However, there are significant implications for all types of drivers. This type of system can help protect commercial drivers, but this technology could be integrated into regular vehicles as well, which could make the roads safer for every Texas driver.

No matter what type of technology is in a car, a person is still responsible for the choices he or she makes behind the wheel. Auto accidents caused by the negligent or reckless choices of another person may be grounds for compensation through a personal injury claim. Safety features and new technology may make the roads safer, but they are no substitute for good decisions behind the wheel.