Hiroto Takaue
Papers
1
Total Citations
6
H-Index
1
About
Hiroto Takaue is a researcher in intelligent transportation systems, with a focus on vehicle platooning and autonomous mobility. His work centers on developing and experimentally validating control algorithms for multi-vehicle formations, particularly through multi-leader vehicle following models. Takaue’s most cited paper, "Robot Vehicle Platoon Experiment Based on Multi-leader Vehicle Following Model" (2014, 6 citations), demonstrates a practical approach to velocity control in vehicle platoons using scaled robot vehicles. In this study, he applied stability analysis to optimize model parameters and maximized the summation of sensitivities across all leader vehicles, bridging theoretical control theory with real-world experimentation. While his citation count is modest, this work contributes foundational insights into cooperative driving dynamics, addressing critical challenges in traffic efficiency and safety for autonomous vehicle systems. Takaue’s hands-on experimental methodology—using physical robot platforms rather than pure simulation—offers valuable validation for platoon control strategies, making his research relevant for engineers and researchers developing next-generation intelligent transportation networks.
Research Focus
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Top Papers
- 1