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Summary & Details

Development of Foundational Technologies for Comprehensive Safety Evaluation Against Traffic Disturbances Encountered by Automated Vehicles Integrated Extraction of Traffic Laws and Traffic Disturbance Scenarios Corresponding to Road Structures and Signs

自動運転車が遭遇する交通外乱に対する網羅的安全性評価に向けた基盤技術構築道路構造・標識等に対応する法令と交通外乱シナリオの結合抽出

Delivery: Available on this site

Format: PDF

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

Publication code: 20266148

Paper/Info type: Proceedings (Autumn)

No.122-26

Pages: 1-2(Total 2 p)

Date of publication: Oct 2026

Publisher: JSAE

Language: Japanese

Event: 2026 JSAE Annual Congress (Autumn)

Detailed Information

Author(J)	1) 吉田学立, 2) 三浦大輔, 3) 林玲秀, 4) 森真由, 5) 古在由武, 6) 長谷川諒, 7) 小西薫, 8) 今長久
Author(E)	1) Hisataka Yoshida, 2) Daisuke Miura, 3) Akiyoshi Hayashi, 4) Mayu Mori, 5) Yoshitake Kozai, 6) Ryo Hasegawa, 7) Yuki Konishi, 8) Hisashi Imanaga
Affiliation(J)	1) NTTデータオートモビリジェンス研究所, 2) NTTデータオートモビリジェンス研究所, 3) NTTデータオートモビリジェンス研究所, 4) メイテック, 5) NTTデータオートモビリジェンス研究所, 6) 日本自動車研究所, 7) 日本自動車研究所, 8) 日本自動車研究所
Affiliation(E)	1) NTT DATA Automobiligence Research Center, 2) NTT DATA Automobiligence Research Center, 3) NTT DATA Automobiligence Research Center, 4) MEITEC, 5) NTT DATA Automobiligence Research Center, 6) JARI, 7) JARI, 8) JARI
Abstract(J)	一般道における交通外乱Pre-Logicalシナリオ（Pre-LS）を網羅的に生成し，道路構造・物理構造物・法令の制約を各シナリオに対応付けることで，安全性評価に必要なシナリオを体系的に抽出する手法を提案する．本手法を実装した自動化ツールを開発し，ケーススタディにより有効性を確認した． Translation
Abstract(E)	This study proposes a method for comprehensively generating Pre-Logical Scenarios for traffic disturbances on general roads and systematically associating real-world constraints - including road structure, physical structures such as guardrails, and traffic-law regulations - with each scenario to enable structured extraction of scenarios relevant to safety evaluation. An automated tool implementing this method was developed as a foundational technology for comprehensive safety evaluation of automated driving systems. Case studies were conducted to demonstrate its practical applicability.

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