Traffic Characteristics of Heavy Snow Event in Sapporo in 2022

This paper focuses on traffic volume anomalies caused by a heavy snow event in Sapporo in the winter of 2021, and analyzes the characteristics using non-negative factorization. The core tensor and feature matrices were observed using Tucker factorization to analyze the traffic volume fluctuations ca...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE 12th Global Conference on Consumer Electronics (GCCE) pp. 225 - 226
Main Authors Hashimoto, Seiya, Sugiura, Satoshi
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.10.2023
Subjects
Consumer electronics
Fluctuations
non-negative factorization
Snow
Tensors
traffic volume analysis
Online AccessGet full text

Cover

More Information
Summary:This paper focuses on traffic volume anomalies caused by a heavy snow event in Sapporo in the winter of 2021, and analyzes the characteristics using non-negative factorization. The core tensor and feature matrices were observed using Tucker factorization to analyze the traffic volume fluctuations caused by the heavy snow event.
ISSN:2693-0854
DOI:10.1109/GCCE59613.2023.10315498