An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk

Gao, Jianqiang; Yu, Bo; Chen, Yuren; Bao, Shan; Gao, Kun; Zhang, Lanfang

doi:10.1016/j.trc.2024.104491

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An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk

Cited by 10 publications

References 59 publications

An Interpretable Collision Risk Prediction Model for Rear-End Near-Crash Scenarios Using CatBoost and SHAP

An Interpretable Collision Risk Prediction Model for Rear-End Near-Crash Scenarios Using CatBoost and SHAP

Driving Risk Evaluation of Commercial Buses Based on Historical GPS Data

Rethinking real-time risk prediction from multi-step time series forecasting on highway car-following scenarios

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