Abstract
The rapid growth in the transportation sector demands innovative solutions to address safety, efficiency, and environmental challenges, especially in countries with complex and dynamic road infrastructures like India. This research explores the design of a semi-autonomous vehicle tailored for Indian road conditions using reinforcement learning (RL) techniques. The unique characteristics of Indian infrastructure, including mixed traffic, unpredictable behavior of pedestrians, varying road conditions, and inconsistent adherence to traffic regulations, pose challenges to the implementation of autonomous driving technologies. This paper proposes an RL-based approach to navigate these challenges and discusses the potential design, algorithmic frameworks, practical case studies, and implications.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Innovative Science and Research Technology (IJISRT)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
