Optimizing Driver-Truck Synergy in Semi-Autonomous Truck Platooning Operations

Abstract

This paper explores the intersection of human and machine collaboration within the framework of semi-autonomous trucking. The study focuses on enhancing truck platoons' operational efficiency and safety—where multiple trucks travel closely together with the aid of advanced driver-assistance systems (ADAS). By integrating human factors engineering and autonomous technology, the research aims to identify optimal strategies for driver engagement, situational awareness, and workload management. Key objectives include improving human drivers' responsiveness and decision-making capabilities while leveraging automated systems' precision and reliability. The findings are expected to contribute to developing more effective training programs and operational protocols, ultimately leading to safer and more efficient platooning operations.