Study at TCU


Name SUGIMACHI Toshiyuki
Official Title Associate Professor
Affiliation Intelligent mechanics/mechanical system
Profile  My research topics are dynamic systems and control related on autonomous driving and automotive human factors. Regarding autonomous driving, I study on truck platooning systems particularly. To reduce the amount of CO2 emission, the establishment of the techniques for the autonomous eco-driving of heavy-duty trucks and platooning to reduce their large air resistance in highway driving is needed. Truck platooning is an effective solution to the problem of driver shortages in the future of Japan. Therefore, we proposed new control methods for the lateral and longitudinal direction of heavy-duty trucks. The experimental results of autonomous driving and platooning show the effectiveness of the proposed method.
 Social acceptance is important for the practical application of autonomous driving systems. The affinity with the system driver is also important. I study on social acceptability in autonomous driving using a driving simulator, Human Machine Interface for autonomous driving, Next-generation compact mobility and advanced driver assistance systems that use autonomous driving technology.
 I study on autonomous driving technology and cooperation between people and systems.
Research Field(Keyword & Summary)
  1. (1) Automated driving technology

     I study on control method for truck patooning of heavy-duty trucks. I propose lateral and longitudinal control with a linear and non-linear approach. I propose a control technology that takes practical use into consideration.

  2. (2) Human factor and HMI

     The affinity of driver with automated driving system is important. I study on social acceptability in autonomous driving and Human Machine Interface (HMI) for autonomous driving using actual vehicle and a driving simulator.

Representative Papers
  1. (1) Steering Control and Automatic Tuning to Compensate for Road Cant, International Journal of Intelligent Transportation Systems Research, Vol.17(2), pp.142-149, 2019,
  2. (2) Evaluation of Fuzzy Inference-based Self-tuning of Steering Control Gains for Heavy-duty Trucks, International Journal of Intelligent Transportation Systems Research, Vol.14(2), pp.92-100, 2016,
  4. (4) Practical Lateral Control for Autonomous Platooning System of Heavy-Duty Trucks,ITS WORLD CONGRESS 2013,4100,pp.1-10, 2013
  5. (5) Greater activity in the frontal cortex on left curves: avector-based fNIRS study of left and right curve driving,Frontal lobe PLOS ONE,10(5),e0127594, 2015
  6. (6) Evaluation of Usability during Driving Narrow Tilting Vehicles Using Psychophysiological Indices, International Journal of Automotive Engineering, 2020 Volume 11 Issue 3 Pages 124-128, DOI
  7. (7) Evaluations of Different Human Machine Interfaces for Presenting Right-Turn Timing at Intersections, International Journal of Intelligent Transportation Systems Research, 2020, DOI: 10.1007/s13177-020-00223-4
  8. (8) Evaluation of Driver Assistance System Presenting Information of Other Vehicles through Peripheral Vision at Unsignalized Intersections, International Journal of Intelligent Transportation Systems Research, 12. 2020, DOI:10.1007/s13177-020-00236-z
  9. (9) Preceding Vehicle Following Based on Path Following Control for Platooning,Preprints of IFAC AAC,Volume 46, Issue 21, 2013, Pages 47-51, 2013
  10. (10) Study on Longitudinal Control for Fuel Saving Efficiency in Platooning of Heavy-Duty Trucks, The Proceedings of the Transportation and Logistics Conference 2018.27:1112, DOI: 10.1299/jsmetld.2018.27.1112
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS)
Recruitment of research assistant(s) No
Affiliated academic society (Membership type) Society of Automotive Engineers of Japan, Inc. (JSAE)
The Japan Society of Mechanical Engineers (JSME)
Education Field (Undergraduate level) Mechanical Control
Education Field (Graduate level) Advanced Mechanical Control