Risk‐Aware Pedestrian Behavior Using Reinforcement Learning in Mixed Traffic
ABSTRACT This paper introduces a reinforcement learning method to simulate agents crossing roads in unsignalized, mixed‐traffic environments. These agents represent individual pedestrians or small groups. The method ensures that agents adopt safe interactions with nearby dynamic obstacles (bikes, mo...
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Published in | Computer animation and virtual worlds Vol. 36; no. 3 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.05.2025
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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