Information Transmission to Emergency Services Increase Adoption of Traffic Collision Avoidance Systems

Every year, tens of thousands of people perish in road accidents. Research from around the world has displayed that most road accidents occur due to human error. Consequently, advancements in driver assistance technologies have the potential to save man y of these lives, and regulatory bodies around the world are increasingly debating and setting up frameworks to support this modern automobile trend.

Technologies for driver assistance not only keep the passengers and drivers of the vehicle safe, they are also important for the safety of pedestrians and other drivers on the road. Manufacturers across the automobile production spectrum give a number of different names to these technologies.

Some traffic collision protection systems alert drivers when they are at a high risk of crashing, while other technologies actively take control of automobiles in cases where accidents are imminent. These systems comprise of functions such as automated braking and the detection of blind spots among others.

Artificial Intelligence and Sensor Advancements Reduces Response Time

Car manufacturers are also developing technologies where the vehicles transmit signals to relevant emergency services about the status to vehicles and passengers involved in accidents, within mere seconds after the impact.

Such systems make use of artificial intelligence and advanced sensors to provide a comprehensive analysis about factors such as potential injuries with detailed medical terminology, which will allow a faster response time of rescuers and will increase the chances of survival through the quick deployment of the appropriate medical professionals.

Increased Functionality in ADAS Boosts Manufacturer Safety Record

Manufacturers have ramped up efforts to maximize the avenues of increasing passenger safety through system functions such as backup cameras that are required for new vehicles, which enable automatic rear braking and automated steering. Other features include alerts for cross traffic activity and blind spots, pedestrian detection, warning for forward collisions, lane centering, alerts for lane departure, and adaptive cruise control among other things.

The high costs related to the development of collision avoidance systems is one of the key factors behind the slow adoption of these systems in mainstream affordable passenger cars. Traffic collision avoidance systems are likely to witness increased adoption in the developed regions of Western Europe and North America, and the trend is expected to continue over the years to emerging automobile markets across the globe such as Brazil, India, and China.

Future Developments Focus on Augmentation and Intervention Trends

In the future, automobiles will make use of numerous data sources than what human drivers could possibly take into account. Vehicles will make use of connectivity technologies to communicate with local infrastructure, including smart roads that will provide cars with relevant safety information.

Such information and relevant calculations will take place in real time and will consider external factors such as traffic speeds, history of accidents in the locality, and weather conditions among numerous others.

Until passenger vehicles become completely autonomous in the foreseeable future, intervention by artificial intelligence in dangerous situations, coupled with augmentation of driver response times by driver assistance alerts are expected to gain importance in the global industry.

Consequently, advances in big data analytics in to study multiple accident scenarios, will provide crucial data to automobile engineers to strengthen accident resistance auto components, in addition increase the integration of such components with emerging AI platforms.