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Summary & Details

Effectiveness Evaluation of Trajectory Planning at Highway Merging Sections Using Quantum-Inspired Optimization

量子インスパイアード最適化を活用した軌道計画の高速道路合流部での効果検証

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20265325

Paper/Info type: Proceedings (Spring)

No.76-26

Pages: 1-6(Total 6 p)

Date of publication: May 2026

Publisher: JSAE

Language: Japanese

Event: 2026 JSAE Annual Congress (Spring)

Detailed Information

Author(J)	1) 大矢晃示, 2) 髙橋隆志, 3) 松浦甲汰, 4) 山本賢伸
Author(E)	1) Koji Oya, 2) Ryuji Takahashi, 3) Kouta Matsuura, 4) Kenshin Yamamoto
Affiliation(J)	1) ミライズテクノロジーズ, 2) ミライズテクノロジーズ, 3) ミライズテクノロジーズ, 4) ミライズテクノロジーズ
Affiliation(E)	1) MIRISE Technologies, 2) MIRISE Technologies, 3) MIRISE Technologies, 4) MIRISE Technologies
Abstract(J)	自技会25秋季大会で，高速道路の合流シーンにおける量子インスパイアドマシンを用いた組合せ最適化の軌道計画手法を発表した．実道路形状および実車両配置を前提とした軌道計画シミュレーションを実行し，その結果を実社会データを比較することで，本提案手法の効果を検証する． Translation
Abstract(E)	At the JSAE 2025 Autumn Congress, we presented a trajectory planning using a quantum-inspired machine for combinatorial optimization. We conducted trajectory planning simulations based on actual traffic scenario and verified the effectiveness of the proposed method by comparing the simulation results with real-world data.

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