This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Toyota Jidosha Kabushiki Kaisha. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Yusuke Ikenoue: Innovator in Traffic Jam Prediction Technology
Introduction
Yusuke Ikenoue is a notable inventor based in Takahama, Japan. He has made significant contributions to the field of traffic management through his innovative patent. His work focuses on predicting traffic jams, which is crucial for improving transportation efficiency.
Latest Patents
Yusuke Ikenoue holds a patent for a "Method for generating learned model, non-transitory storage medium, and traffic jam predicting device." This method involves acquiring various data, including the number of persons information, weather information, and vehicle information. By analyzing this data, the system can determine the traffic jam status and generate a learned model for predicting traffic jams using machine learning techniques.
Career Highlights
Yusuke Ikenoue is associated with Toyota Jidosha Kabushiki Kaisha, a leading automotive manufacturer. His work at Toyota emphasizes the integration of advanced technologies in vehicles to enhance user experience and safety. His innovative approach has positioned him as a key player in the development of smart traffic solutions.
Collaborations
Yusuke collaborates with talented individuals such as Ayumu Shiomi and Atsushi Miyagawa. Their combined expertise contributes to the advancement of traffic management technologies and the development of effective solutions for urban mobility challenges.
Conclusion
Yusuke Ikenoue's contributions to traffic jam prediction technology highlight the importance of innovation in transportation. His work not only enhances the efficiency of road usage but also contributes to the overall improvement of urban mobility.