Research on safe and efficient control method for intersections depending on characteristics of autonomous vehicles and penetration rates

2021 Fiscal Year Final Research Report

• Project/Area Number: 19H02261
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 22050:Civil engineering plan and transportation engineering-related
• Research Institution: Nagoya University
• Principal Investigator: Nakamura Hideki 名古屋大学, 環境学研究科, 教授 (10212101)
• Co-Investigator(Kenkyū-buntansha): 柿元 祐史 名古屋大学, 環境学研究科, 助教 (30812937) ; 井料 美帆 名古屋大学, 環境学研究科, 准教授 (80469858)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 自動運転車 / 交通容量 / 信号交差点 / 混在交通流 / シミュレーション / 安全性

Outline of Final Research Achievements

A microscopic traffic simulator that reproduces HDV and AV behavior at signalized intersections was developed. By using this simulator, mixed AV traffic flows under various scenarios were reproduced and their effects on safety and capacity were analyzed. For AV, three types of aAV, nAV, and dAV with different behavior characteristics were assumed. Although it is possible to increase the capacity by setting various parameters of AV, it was quantitatively shown that the index value related to the safety evaluation tends to shift to the dangerous side at that time. If the current traffic flow level of HDV only is maintained, the dAV rate is 100%, the safety evaluation index is improved by 30.6%, and if the safety is maintained at the same level as the current level, it was shown that aAV improves capacity by about 37%.

Free Research Field

交通工学

Academic Significance and Societal Importance of the Research Achievements

道路ネットワークのボトルネックとなる交差点において，AVの各種性能設定が安全性と交通容量のそれぞれに対してどの程度寄与することが期待できるのかを，AVの混入率に応じて定量的に示したことは，とかく過大評価されがちであったAVの普及に際しての効果と留意事項を現実的に示している点において社会的意義が高い．また，今後開発される自動運転車の各種制御パラメータ設定に際して，有益な情報を示唆するものである．