Research on Evaluation Method of Autonomous Driving System Based on Multidimensional Traffic Environment Elements

Under the background of active promotion of policies and continuous evolution of artificial intelligence technology, autonomous vehicle have increasingly become the focus of public attention. The evaluation of autonomous driving system is an indispensable key link before autonomous vehicle moves towards large-scale application, and its importance is self-evident. Therefore, it is of great significance to build a complete evaluation method for autonomous driving system to promote the vigorous development of autonomous vehicle industry. This paper analyzes the functions of autonomous driving system and the elements of traffic environment, innovatively proposes an evaluation method of autonomous driving system based on multidimensional traffic environment elements, and verifies the method, aiming to provide support for the evaluation method system of autonomous driving system.

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Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1145/3744439.3744447
Primary Topic
Traffic Prediction and Management Techniques
Type
article
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article

Research on Evaluation Method of Autonomous Driving System Based on Multidimensional Traffic Environment Elements

Junjie Yang, Xie Rong, J.S. Wang, Zhengzhen Jin
Traffic Prediction and Management Techniques
article

Research on Evaluation Method of Autonomous Driving System Based on Multidimensional Traffic Environment Elements

Junjie Yang, Xie Rong, J.S. Wang, Zhengzhen Jin
article en

Abstract

Under the background of active promotion of policies and continuous evolution of artificial intelligence technology, autonomous vehicle have increasingly become the focus of public attention. The evaluation of autonomous driving system is an indispensable key link before autonomous vehicle moves towards large-scale application, and its importance is self-evident. Therefore, it is of great significance to build a complete evaluation method for autonomous driving system to promote the vigorous development of autonomous vehicle industry. This paper analyzes the functions of autonomous driving system and the elements of traffic environment, innovatively proposes an evaluation method of autonomous driving system based on multidimensional traffic environment elements, and verifies the method, aiming to provide support for the evaluation method system of autonomous driving system.

China Automotive Technology and Research Center (CN), Ministry of Natural Resources (RW), Ministry of Water Resources of the People's Republic of China (CN)
Climate action
Openalex Percentile: Top 80%
Traffic Prediction and Management Techniques
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