Adaptive Joint Operation Models for Semi-Autonomous Truck Platooning Efficiency

Authors

  • Muhammad Ali Khan Department of Mechanical Engineering, University of Dhaka, Bangladesh

Abstract

Adaptive Joint Operation Models for Semi-Autonomous Truck Platooning Efficiency represent a pioneering approach to optimizing the coordination and performance of semi-autonomous truck platoons. By integrating adaptive algorithms and joint operation strategies, these models aim to enhance efficiency through real-time adjustments in platoon formations and vehicle interactions. This framework leverages advanced sensing technologies and communication systems to facilitate seamless coordination among trucks, ensuring safe spacing and optimal energy usage. Such innovations not only promise to revolutionize logistics and transportation sectors but also underscore the transformative potential of autonomous systems in improving overall operational efficiency and sustainability in freight transportation networks.

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Published

2024-03-19

Issue

Section

Articles