Research on Risk Quantification Methods for Connected Autonomous Vehicles Based on CNN-LSTM

Quantifying and predicting driving risks for connected autonomous vehicles (CAVs) is critical to ensuring the safe operation of traffic in complex environments. This study first establishes a car-following model for CAVs based on molecular force fields. Subsequently, using a convolutional neural net...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Kedong Wang, Dayi Qu, Dedong Shao, Liangshuai Wei, Zhi Zhang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2024-12-01
Цуврал:	Applied Sciences
Нөхцлүүд:	traffic safety deep learning risk quantification risk prediction
Онлайн хандалт:	https://www.mdpi.com/2076-3417/14/23/11204
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!