Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning
Building a human-like car-following model that can accurately simulate drivers’ car-following behaviors is helpful to the development of driving assistance systems and autonomous driving. Recent studies have shown the advantages of applying reinforcement learning methods in car-following modeling. H...
| Published in: | Sensors |
|---|---|
| Main Authors: | Yang Zhou, Rui Fu, Chang Wang, Ruibin Zhang |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/18/5034 |
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