RESEARCH ON STATISTICAL DATA-BASED TRAFFIC FLOW LEVELING USING QUANTUM ANNEALER

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Journal
Transactions of the Operations Research Society of Japan
Published
2025-01-01
DOI
https://doi.org/10.15807/torsj.68.91
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
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article

RESEARCH ON STATISTICAL DATA-BASED TRAFFIC FLOW LEVELING USING QUANTUM ANNEALER

Masayuki Ohzeki, Katsumi Akiyama, Yasuyuki Ihara, Yoshikatsu Noda
Transactions of the Operations Research Society of Japan
Traffic Prediction and Management Techniques
article

RESEARCH ON STATISTICAL DATA-BASED TRAFFIC FLOW LEVELING USING QUANTUM ANNEALER

Masayuki Ohzeki, Katsumi Akiyama, Yasuyuki Ihara, Yoshikatsu Noda
article en

Abstract

No abstract available for this paper.
Transactions of the Operations Research Society of JapanVol. 68(0)
Tohoku University (JP)
Openalex Percentile: Top 66%
Traffic Prediction and Management Techniques
DOIOpen Access PDFOpenAlex
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RESEARCH ON STATISTICAL DATA-BASED TRAFFIC FLOW LEVELING USING QUANTUM ANNEALER — Masayuki Ohzeki, Katsumi Akiyama, et al. · Transactions of the Operations Research Society of Japan (2025) | TGRS Research Map | TGRS