Despite the advances in technology adoption by the Automotive industry, convenience, vehicle efficiency, driver and passenger safety are still causes of concern. National Safety Council in its report, mentions about 42,060 people died in vehicle crashes in 2020.
Today, advancements in connected car technology enables a constant flow of information and data across vehicles, car users, road and traffic infrastructure authorities, regulators and other service industries that co-exist. The increased adoption of technology, to leverage vehicle performance and environment data in real time, early warning alerts on weather and road conditions and driver assistance technology are playing a key role in ensuring lower accident and fatality rates.
As we move ahead on network technology advancements and over the air communication use, we will see the industry leveraging these towards advancements in the AV, V2V and V2X safety and communication ecosystem.
So how does all this pan out towards a better safety adoption measure for drivers and passengers. How can all this connected data be meaningfully aggregated as insights and shared in real- time across the network of stakeholders from users to authorities?
How would the uptake of technology adoption in this increasingly connected driving world be addressing safety and convenience?
- Automated vehicles and advanced driver assistance systems (ADAS). In the mid to long term we would see a massive shift in automated vehicles moving from safety critical functions to assisted driving tasks like parking and auto pilot across identified terrains to a more complete machine learning driven adoption, reducing users to mere passengers. Not a bad way of driving to work in Manhattan.
- Connected driving. We would be seeing an increasing usage and convergence of vehicle and external smart infrastructure across critical safety information – road conditions, traffic density, weather alerts, smart traffic control on speed limits, and accident hotspots etc. With the help of connected car data, drivers can rely on real-time, up to the second, navigation and vehicle to vehicle communication by assessing notifications and data alerts.
- Predictive care and maintenance. Timely servicing is crucial to maintain the health of the vehicle. Connected car data helps drivers with real-time diagnostics on vehicle health and early warning alerts for predictive maintenance.
- Compliance with safety regulations. Most of the potential accidents can be prevented if the drivers diligently follow the road safety regulations. Connected vehicle data helps the vehicle owners and the drivers to abide by traffic and safety regulations with real-time notifications on overtaking, turning, parking, speed limit, etc. From alerts for wearing seat belts, keeping the vehicle safety inspection certificates and other mandates updated, connected car data can help the drivers comply with all safety regulations.
Connected vehicle data not only reduces road accidents but can contribute in improving infrastructure capabilities of the cities, through regulated traffic and road conditions and creating perfect accident prediction models to prevent future accidents. CerebrumX utilizes its next generation, Augmented Data Learning Platform (ADLP) to deliver near real-time and execution of car data to address the challenges of road safety and convenience.