客観的なマルチ車両安全評価フレームワークへの自然運転知見の統合
Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework
複数車両が混在する交通環境での安全性を、複数の客観的安全指標と人間の主観的安全感覚の両面から評価できるフレームワークを提案し、高速道路の車間追従シナリオで有効性を示した。
著者: Enrico Del Re, Amirhesam Aghanouri, Cristina Olaverri-Monreal
分類: cs.RO
原文アブストラクト
As autonomous vehicle technology advances, the precise assessment of safety in complex traffic scenarios becomes crucial, especially in mixed-vehicle environments where human perception of safety must be taken into account. This paper presents a framework designed for assessing traffic safety in multi-vehicle situations, facilitating the simultaneous utilization of diverse objective safety metrics. Additionally, it allows the integration of subjective perception of safety by adjusting model parameters. The framework was applied to evaluate various model configurations in car-following scenarios on a highway, utilizing naturalistic driving datasets. The evaluation of the model showed an outstanding performance, particularly when integrating multiple objective safety measures. Furthermore, the performance was significantly enhanced when considering all surrounding vehicles.
