Cut-in against the other lane-changing: behaviors analysis and model establishing
This dissertation explores the distinctions in different vehicular behavior during lane-changing scenarios by analysing the public transportation datasets highD. Through detailed data analysis, we describe the differences in dynamics across these scenarios. Building on this foundation, we have devel...
Saved in:
Main Author: | Zheng, Dejiang |
---|---|
Other Authors: | Su Rong |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175483 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Trajectory prediction in lane-change vehicles with deep learning method
by: Gam, Arion Yi Hao
Published: (2024) -
A personalized behavior learning system for human-like longitudinal speed control of autonomous vehicles
by: Lu, Chao, et al.
Published: (2020) -
Prioritized experience-based reinforcement learning with human guidance for autonomous driving
by: Wu, Jingda, et al.
Published: (2024) -
Safety-aware human-in-the-loop reinforcement learning with shared control for autonomous driving
by: Huang, Wenhui, et al.
Published: (2025) -
Interactive prediction and decision-making for autonomous vehicles: online active learning with traffic entropy minimization
by: Zhang, Yiran, et al.
Published: (2025)