According to the National Highway Traffic Safety Administration, big data might greatly enhance road safety by 2022. With an anticipated 42,795 deaths from motor vehicle traffic incidents, predictive analytics might help reduce collisions and accidents before they endanger people. All traffic fatalities are avoidable, and big data might provide enhanced insights into road safety. There are currently several use cases of big data supporting driver safety, and the potential of large amounts of data could make the roads a safer place for anyone.
Personalized Driver Training
Telematics is increasingly being utilized to monitor driver behaviour, with big data allowing for more in-depth insights. It would be advantageous for young drivers, who can face an accident. Parents can identify and address bad habits by examining data on braking, speeding, and maneuver complexity. This technique might also be used for expert vehicle fleets and drivers, with AI permitting data to be converted into meaningful report cards that recommend changes. This strategy has the potential to minimize accidents and increase overall driving safety.
Advanced Vehicle Performance
AI systems may leverage big data to automatically analyze statistics and alter vehicle performance on the go, ensuring that safety procedures are followed. This may entail changing characteristics such as speed, power, and horsepower to prevent accidents based on driver behaviour. Through a constant feedback loop, digital measurements such as changing fuel injection in engines may make quick modifications to vehicle performance. These safeguards might potentially be put in place to prevent vehicles from exceeding speed restrictions on the road.
Big data can track automobile entry and departures based on changes in weight and door use, ensuring that all passengers buckle up before departing.
Accident Management
Predictive analytics may be used to detect high-risk accident regions using big data. Based on previous data, this data may be used to generate prediction accident maps that indicate high-risk regions that require attention or action. Particular maps might inform drivers to take additional precautions or ask authorities to improve road safety measures in particular locations. Furthermore, onboard diagnostic data may be utilized to identify and propose repairs for windshield chips, boosting safety measures.
Functional Traffic Safety
Big data can drastically reduce road accidents in the United States and elsewhere by giving driver training options. This can save money on automobile repairs and keep drivers mobile, allowing them to be productive and connected. Accidental financial losses can be significant, weighing heavily on the US economy. A fully functional transport infrastructure may be used by leveraging big data to acquire a thorough picture of driving behaviour and accident insights, saving drivers and governmental entities enormous money and minimizing unnecessary loss of life on the roads.
Providing Drivers with Comfort
AI systems can increase driver comfort and prevent accidents by anticipating real-time climatic and traffic conditions, providing intelligent speed assistance, and proposing ideal acceleration and braking timings. Advanced automobiles can remember desired in-car settings, adjust seats and mirrors, and set vehicle temperatures in advance. This anticipatory intelligence may also be used for automobile accessories, such as car keys, to immediately contact dealers or producers for substitution if a key is no longer synced with the car.
Drivers 360-Degree Sight
Artificial intelligence is good at recognizing collision-prone items and discriminating between inanimate and inanimate things, making it beneficial in detecting high pedestrian volumes in highly populated locations. Dashcams and AI algorithms give complete vehicle views, while IoT technology allows autonomous navigation in heavily crowded regions. These technologies aid drivers in avoiding accidents and navigating heavily crowded regions.
Conclusion
We can see that the future of automobile safety is about a lot more than deploying brakes, as human drivers can respond, thanks to these AI technologies. Before travel, artificial intelligence can take a variety of preventative actions to ensure the comfort of the driver and their passengers. AI can improve the driving experience for everyone by identifying possible issues before they occur.
