How AI and Blockchain can help autonomous vehicles

by Arthur · April 30, 2023

The US National Highway Traffic Safety Administration (NHTSA) recently released data revealing that there were approx 31,785 road traffic deaths in the first nine months of 2022. Despite the decrease in the number of fatalities, there is still much work to be done to significantly improve road safety. A solution that can potentially reduce car accidents and optimize the functions of autonomous vehicles is the combination of AI and blockchain technology.

NHTSA today released a preliminary estimate that found 31,785 deaths in traffic accidents during the first 9 months of 2022, 65 fewer deaths than in the same period the previous year. Any decrease in fatal accidents is welcome, but this is ONLY a 0.2% decrease! #Save a life https://t.co/9E830kY7oE

— Driving on the right side of the road TMCEC (@DRSRtmcec) 9 January 2023

Table of Contents

AI in autonomous vehicles

Autonomous vehicles are vehicles that use artificial intelligence and other technologies to operate without human input. They have the potential to reduce accidents caused by human error, such as speeding, distracted driving and fatigue. However, to realize their full potential, these vehicles must be continuously updated and optimized to ensure their safety and efficiency.

AI can help optimize the functions of self-driving cars by analyzing data from various sensors, such as cameras and LIDAR, and identifying patterns that can improve the vehicle’s performance. For example, AI can help detect pedestrians and other obstacles on the road and adjust the vehicle’s speed accordingly to avoid collisions. In addition, AI can help improve the accuracy of navigation systems and ensure that the vehicle follows the optimal route.

Blockchain in autonomous vehicles

While AI can help optimize the functions of autonomous vehicles, blockchain technology can provide an additional layer of security and transparency. Blockchain is a distributed ledger technology that enables secure and transparent recording of data. Using blockchain technology, automated vehicles can securely store and share data with other vehicles and infrastructure.

For example, blockchain can be used to record and share data related to traffic conditions, weather conditions and road hazards. This data can be accessed by other vehicles and infrastructure, allowing them to adjust their behavior accordingly. In addition, blockchain can be used to store and share data related to vehicle maintenance in a secure manner, to ensure that the vehicle operates at maximum efficiency and safety.

Combine AI and Blockchain in autonomous vehicles

By combining AI and blockchain technology, autonomous vehicles can be optimized for safety and efficiency. AI can help optimize the functions of the vehicle, while blockchain can provide an additional layer of security and transparency. In addition, the combination of these technologies can enable self-driving vehicles to communicate with each other and with infrastructure, enabling more efficient and safer operations.

For example, if a vehicle detects a hazard on the road, it can use blockchain technology to share this data with other vehicles and infrastructure. This will allow other vehicles to adjust their behavior accordingly, potentially avoiding accidents and reducing congestion. In addition, blockchain technology can be used to securely store and share data related to vehicle maintenance, to ensure that the vehicle operates at maximum efficiency and safety.

Final thoughts

In conjunction with the latest NHTSA findings, self-driving cars have the potential to significantly reduce car accidents caused by human error. However, to fully realize their potential, they must be updated and optimized continuously.

By combining AI and blockchain technology, autonomous vehicles can be optimized for safety and efficiency, while providing an additional layer of security and transparency. This combination could revolutionize the way we travel and pave the way for a safer and more efficient future.

Giancarlo is an economist and researcher by profession. Before joining Blockzeit’s dynamic team, he handled several crypto projects for both the public and private sectors as a project manager for a consulting firm.