Paper Details

Name: Aarti Hans & Namrata Vij
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 671-683
DOI: https://doi.org/10.5281/zenodo.19107823

ABSTRACT—
A lot of countries around the world are very concerned about road safety. Traffic risk is being reduced by using innovative technology. Innovative features of intelligent transportation infrastructure include autonomous vehicles (AVs). As a type of safety device, they are active. The unsolved issues are how to make self-driving cars safe enough for drivers and other road users, and most importantly, how much safety would be put in. In addition to reducing transportation costs (including fuel, vehicles, and infrastructure) by 40% and improving livability and walkability, these five urban transportation revolutions might remove traffic congestion by 30% with 30% fewer automobiles on the road by 2050. Make parking spaces available for community centers, parks, and schools, among other uses. Cut global urban CO2 emissions by 80%. Design and implementation of a battery and photovoltaic-powered self-driving automobile are the goals of this project. With the use of appropriate sensors and actuators, artificial intelligence principles have been implemented. An AI is stands
as a contemporary subfield in computer science, a relatively nascent area extensively employed in innovation management within organizational frameworks. Drawing on actual enterprises such as Tesla, this research investigates the process of converting autonomous driving technology into a novel product that gains societal acceptance, exploring its influence on organizational innovation.

Index Terms—Machine Learning, Self-driving Cars, Au- tonomous Cars, Tesla, Road Safety ,Safety Algorithm, AI Pro- cessors.