Miichiro Yamada
Papers
1
Total Citations
6
H-Index
1
About
Miichiro Yamada is a researcher in intelligent transportation systems and multi-vehicle coordination, with a focus on platoon control and autonomous vehicle dynamics. His most-cited work, "Robot Vehicle Platoon Experiment Based on Multi-leader Vehicle Following Model" (2014, 6 citations), introduces a velocity control algorithm for vehicle platoons using a multi-leader following approach. Yamada’s key contribution lies in the stability analysis of these models, optimizing parameters to maximize the summation of sensitivities across all leader vehicles. This work demonstrates how robotic platforms can validate theoretical platoon control strategies, bridging simulation and real-world experimentation. While his citation count is modest, his research addresses foundational challenges in cooperative driving, such as string stability and decentralized control, which are critical for advancing autonomous vehicle fleets. Yamada’s experiments with vehicle robots provide practical insights into multi-agent coordination, influencing subsequent studies on platoon formation and traffic flow efficiency. His work is particularly relevant for students and researchers exploring the intersection of control theory, robotics, and transportation engineering, offering a hands-on perspective on implementing leader-follower architectures in physical systems.
Research Focus
Key Achievements
Top Papers
- 1