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A Decision-Making Model for Autonomous Vehicles at Intersections Based on Hierarchical Reinforcement Learning.
- Source :
-
Unmanned Systems . Jan2023, p1-12. 12p. - Publication Year :
- 2023
-
Abstract
- By aiming at addressing the left-turning problem of an autonomous vehicle considering the oncoming vehicles at an urban unsignallized intersection, a hierarchical reinforcement learning is proposed and a two-layer model is established to study behaviors of left-turning driving. Compared with the conventional decision-making models with a fixed path, the proposed multi-paths decision-making algorithm with horizontal and vertical strategies can improve the efficiency of autonomous vehicles crossing intersections while ensuring safety. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 23013850
- Database :
- Academic Search Index
- Journal :
- Unmanned Systems
- Publication Type :
- Academic Journal
- Accession number :
- 161513126
- Full Text :
- https://doi.org/10.1142/s2301385024500122