Hybrid Planning Framework for Semi-Autonomous Truck Platooning with Human Drivers

Abstract

This paper presents an innovative approach to enhancing truck platooning operations by integrating autonomous technology with human intervention. This framework employs advanced planning algorithms to coordinate the movement and formation of truck platoons, optimizing for factors such as fuel efficiency, safety, and traffic flow. Human drivers play a crucial role in overseeing and managing complex driving situations, ensuring that the system can adapt to dynamic road conditions and unforeseen events. By combining the precision of automated systems with the adaptability and decision-making capabilities of human drivers, this hybrid framework aims to improve the overall performance and reliability of semi-autonomous truck platooning.