McNair Summer Research Program
Publication Date
2025
Disciplines
Power and Energy | Systems and Communications
Description, Abstract, or Artist's Statement
This research investigates the construction and performance optimization of two autonomous vehicles with using "Platooning," a strategy aimed at reducing fuel consumption and enhancing transportation efficiency. Platooning allows one vehicle to follow another closely, minimizing aerodynamic drag and improving fuel economy. This study addresses the growing need for sustainable transportation solutions in the context of increasing urbanization and environmental concerns, emphasizing the importance of efficient autonomous vehicle operation. The primary objectives of this research are to assemble autonomous vehicles from scratch and to optimize their performance in both individual and platoon operations. The methodology involves using Traxxas Slash chassis and integrating peripherals such as processors, sensors, GPS modules, and LiDAR. The project progresses through weekly tasks, including literature reviews, system integration, motion control, trajectory planning, orientation control, navigation, and perception. Specific techniques used in the project include PID controllers for motion control and advanced algorithms for trajectory planning. The vehicles' performance is assessed when operating individually using all sensors and in a platoon formation. The vehicles demonstrate precise control and efficient navigation, with LiDAR and GPS integration enhancing obstacle detection and path planning. These findings highlight the potential of platooning to optimize fuel consumption and improve autonomous vehicle performance. Future research will focus on refining control algorithms, enhancing sensor integration, and expanding the platooning strategy to larger fleets. Additionally, the research will explore real-world applications and scalability of platooning in various traffic conditions.