Quantification Method of Driving Risks for Networked Autonomous Vehicles Based on Molecular Potential Fields

Connected autonomous vehicles (CAVs) face constraints from multiple traffic elements, such as the vehicle, road, and environmental factors. Accurately quantifying the vehicle’s operational status and driving risk level in complex traffic scenarios is crucial for enhancing the efficiency and safety o...

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Principais autores:	Yicheng Chen, Dayi Qu, Tao Wang, Shanning Cui, Dedong Shao
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-01-01
Serija:	Applied Sciences
Teme:	vehicle-to-vehicle interaction risk quantification molecular potential fields networked autonomous vehicles deep learning
Online dostop:	https://www.mdpi.com/2076-3417/15/3/1306
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