Learn2Drive: A neural network-based framework for socially compliant automated vehicle control

arXiv:2510.21736 · cs.RO, cs.AI, cs.LG, cs.MA, cs.SY, eess.SY · Submitted 2025-09-30 · Read on arXiv

cs.RO, cs.AI, cs.LG, cs.MA, cs.SY, eess.SY

Submitted: 2025-09-30

Updated: 2026-09-16

Comments: Y. Liu, S. Halder, S. Wang and T. Li, "Learn2Drive: A Neural Network-Based Framework for Socially Compliant Automated Vehicle Control," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2026.3724379

DOI: 10.1109/TITS.2026.3724379

Code: https://github.com/lilab2024/Learn2Drive-SVO_v1

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptive Cruise Control — 15× in this paper
• Accuracy — 8× in this paper · explained in 1 episode
• Energy Efficiency — 5× in this paper · explained in 3 episodes
• Social Value Orientation — 5× in this paper
• Calibration — 4× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Loss Function — 4× in this paper · explained in 2 episodes
• Physics-Informed Constraints — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• IEEE Intelligent Vehicles Symposium — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Hybrid Models — 1× in this paper · explained in 2 episodes
• Intelligent Driver Model — 1× in this paper
• Long Short-Term Memory — 1× in this paper
• Personalization — 1× in this paper · explained in 2 episodes
• Predictive Modeling — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• Evaluation of the Gradient Boosting of Regression Trees Method on Estimating the Car Following Behavior
• Interaction-Aware Model Predictive Decision-Making for Socially-Compliant Autonomous Driving in Mixed Urban Traffic Scenarios
• Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework
• Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awareness

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