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リヤド市の都市持続可能性に関する自動運転電気自動車のシミュレーション評価
Ali Louati1, Hassen Louati2, Elham Kariri3
1Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia. a.louati@psau.edu.sa.
Scientific reports
|February 17, 2026
まとめ
サウジアラビアの自動運転バッテリー電気自動車 (BEV) は,外部コストを39.4%大幅に削減しました. この研究では,自動運転の電気自動車による事故,土地利用,渋滞費用の削減が示されています.
科学分野:
- 交通機関工学 交通機関工学
- 環境経済学 環境経済学
- 都市計画 都市計画
背景:
- 自動運転のバッテリー式電気自動車 (BEV) は,世界的に登場しており,局所的な持続可能性評価が必要になっています.
- サウジアラビアのビジョン2030は,持続可能な都市開発と技術の採用を強調しています.
- 既存の外部性モデルには,湾岸地域の文脈特有のデータが欠けていることが多い.
研究 の 目的:
- サウジアラビアの都市環境における自律型BEVの局所的な持続可能性を評価する.
- 自動運転車 (AV) への影響について,マネタイズされた外部コストの枠組みを開発する.
- サウジアラビア・ビジョン2030の目標と実践的な政策勧告を整合させる.
主な方法:
- サウジアラビア政府機関からの2023-2024年度の国家データセットを利用した.
- 3つの柱の評価モデル (環境,経済,社会) を採用し,外部コストを貨幣化しました.
- 動的顕微鏡シミュレーションをリヤドの主要道路で実施し,調査結果を検証した.
主要な成果:
- 自動運転のBEVは,人間運転のBEVと比較して,総外部コストを1.138SAR/車両キロメートル (39.4%) 削減する.
- 交通事故 (55%),都市部の土地利用 (40%),交通渋滞 (25%) に関するコストの大幅な削減が観察されました.
- 環境上の利益は,よりクリーンな電力網のシナリオの下で強化されます. ベースラインの排出量は変化しません.
結論:
- 自律型BEVは,サウジアラビアの都市環境において,実質的な経済的,社会的利益をもたらします.
- 開発されたフレームワークは,AVの影響を評価するための政策準備のツールを提供します.
- 政策勧告は,データ共有,駐車場,高密度都市におけるカーブ管理に焦点を当てています.
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