August 8, 2023 11:04

A research paper written by Koh Takeuchi, Visiting Scientist of the Succinct Information Processing Unit (PI: Yasuo Tabei) and Hisashi Kashima, Visiting Scientist of the AI Safety and Reliability Unit (PI: Hiromi Arai) titled ” QTNet: Theory-based Queue Length Prediction for Urban Traffic” was featured in NIKKEI on August 7, 2023.

Title:
QTNet: Theory-based Queue Length Prediction for Urban Traffic
Authors:
Ryu Shirakami (Sumitomo Electric System Solutions, Co., Ltd.)
Toshiya Kitahara (Sumitomo Electric System Solutions, Co., Ltd.)
Koh Takeuchi (Kyoto University / RIKEN AIP)
Hisashi Kashima (Kyoto University / RIKEN AIP)

*The article can be found at the link below.
*Available only in Japanese

NIKKEI

Related Laboratories

last updated on April 17, 2024 16:34Laboratory
Succinct Information Processing Team
last updated on June 13, 2024 10:40Laboratory
AI Safety and Reliability Unit