Data-driven technology solutions are transforming road safety

5 min readFeb 18, 2021


With a staggering number of road accidents around the world continuing to claim precious human lives, safety technology is evolving. AI-driven management systems are expected to make a huge difference in improving road safety and saving lives.

We are seeing safety technology being implemented by automakers, like lane-deviation alerts, while driverless cars are being developed — which are expected to feature the next level of advanced safety features like auto-braking, road-sign reading, and more. The focus on ensuring passenger safety has led to application of advanced technologies — AI, machine learning, telematics, predictive data analytics, and roadside assistance, to help create safer vehicles, transits, and passenger experience.

Car manufacturers all over the globe are using artificial intelligence in almost every facet of the car manufacturing process. Be it robots putting together the first nuts and bolts of a vehicle, or an autonomous car, using machine learning, and computer vision to safely make its way through traffic.

Integrated technology systems in automotive vehicles are capable of:

  • Receiving, sending, or storing information to remote objects by using connected devices.
  • Mobility through mobiles and computer applications connected to global navigation system technology.
  • Controlling both stationary and moving vehicles with the integrated use of informatics and telecommunications.

Integrating connected technology into mobility vehicles is making the driving experience a safer, smarter one.

Data & AI is reshaping the automotive industry

With AI making inroads in the automotive industry, on-demand mobility, and data-driven services are transforming the automotive industry. While emerging trends like fully autonomous vehicles are expected to become a reality in the near future, 95–98% of the new vehicle is expected to have some form of AI-powered technology, in the next ten years.

Future Bridge Analysis & Insights 2020

Thanks to machine learning, AI works to learn human behavior and reactions to unpredictable circumstances like weather conditions, or other vehicles in the vicinity, which in turn allows vehicles to collect data from their surroundings. This data is absorbed and analyzed to help vehicles learn and respond intelligently. AI is set to transform safety and assistance systems in vehicles, which will in turn affect fleet management, insurance, transportation, and logistics industries as well.

Telematics based safety features

Vehicle telematics is the technology that guides people to their destination, while collecting vehicle data that can be used to improve road safety and other aspects of transit. It consists of GPS based data and video capabilities that give first-hand view of the driver’s behavior, driving etiquette, and the events leading up to an accident.

Advanced driver assistance systems (ADAS) are improving car and road safety at an ever-increasing rate. Vehicles utilizing AI-powered ADAS systems are capable of automatic collision notification, automatic braking, driver drowsiness detection, lane-departure warning, and other safety features. Some systems can help to re-train commercial drivers and avoid collisions, especially in fleet management industry. The video telematics and the dash camera provide managers with an advanced insight into driver’s behavior and skills. The driver and a third party can be warned when the vehicle exceeds speed limit. Such a feedback system ensures good behavior and driving style, and helps increase driver awareness while on the road.

In-built advanced crash detection features work to warn about an impending collision and may help prevent accidents. When a car meets with an accident, this feature notifies the respective authorities and assistance teams for immediate help.

Data-driven roadside assistance

Roadside assistance is evolving beyond breakdown, in a fast-changing roadside ecosystem. Integrations, investments, and partnerships while continuing to build new technology solutions is ensuring business processes that deliver unmatched assistance to drivers who depend on roadside assistance in time of dire need.

Roadside assistance provides aid during a crash, and a non-crash-related emergency, involving the vehicle and the occupants within it. Enhanced Automatic Crash Notification systems are capable of scanning the extent of injury caused to the passengers and the extent of damage caused to the car. Further aid by summoning medical assistance to the site of the crash, can also help in saving lives. During times when the driver faces other issues with their vehicle like a flat tire, running out of fuel, etc. they can press the general emergency button, and get the repair, tow, and drop-off assistance.

Roadzen’s assistance platform guarantees safety and security to customers, along with more data and better insights that enhance the performance of its assistance programs. Technology and people, come together to deliver the highest level of service, and care to clients and their customers, ensuring peace of mind. Global platform-based roadside and vehicle management solutions also help financial, operational, and customer experience dimensions, through efficient and automatic claims management, and reduction in arrival times.

Enhanced customer experience

Insurance carriers are focused on mitigating loss by accelerating digital transformation and automation efforts, to improve safety and generally realign strategy. Towing and roadside assistance services are one of the highest volume claims for top insurance carriers. Hence, predictive and pre-emptive technologies have come into play, to prevent accidents and reduce claims, which benefits both carriers and customers. AI-based vehicle diagnostics are getting integrated, which deliver scheduled reports on the vehicle’s condition. This aids in preventing the breakdown of the vehicle and saves money.

Automotive insurers can also access collision repair estimates automatically from vehicle photos. Mobility apps and products now act as human appraisers, using computer vision and machine learning to examine photos of vehicle damage and return a list of part-level repair operations needed. When combined with collision repair data, the results can generate a repair estimate that can be leveraged by the repair shop and the claims system. AI is also helping contact agents and customers to communicate more efficiently, through digital assistants.