Customized Generative Adversarial Imitation Learning for Driving Behavior Modeling in Traffic Simulation
Driving behavior modeling is a crucial yet challenging task in the development of traffic simulation systems. Advances in machine learning and data-driven vehicle trajectory extraction technologies have significantly advanced research in this area. However, the performance of such models can be affe...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/atr/9991333 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|