Tokyo, Japan

Manabu Katou

USPTO Granted Patents = 7 

 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2017-2024

Loading Chart...
Loading Chart...
7 patents (USPTO):Explore Patents

Title: Manabu Katou: Innovator in Intra-Building Traffic Estimation

Introduction

Manabu Katou is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of building human flow estimation, holding a total of seven patents. His innovative work focuses on methods and systems for estimating intra-building traffic, which are crucial for optimizing elevator usage and improving overall building efficiency.

Latest Patents

Among his latest patents, Katou has developed a method for estimating intra-building traffic. This system includes an OD matrix estimation device that extracts transfer-related intra-bank OD matrixes, combines them to create transfer-related OD data, and estimates OD data for users who transfer between elevator banks. Another notable patent is the building human flow estimation system, which simulates human movement within a building based on traffic data, building layout, and elevator parameters. This system also includes an evaluation section that calculates the reproduction degree of the estimated flow of people.

Career Highlights

Throughout his career, Manabu Katou has worked with notable companies such as Hitachi Construction Machinery Co., Ltd. and Hitachi, Ltd. His experience in these organizations has allowed him to refine his expertise in building technology and human flow estimation.

Collaborations

Katou has collaborated with esteemed colleagues, including Masaki Kanai and Tomoyuki Hamada. Their combined efforts have contributed to advancements in the field of intra-building traffic estimation.

Conclusion

Manabu Katou's innovative patents and career achievements highlight his significant role in enhancing building efficiency through advanced traffic estimation methods. His work continues to influence the way we understand and manage human flow in modern buildings.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…