Transportation and Logistics Systems
Applications of LLMs in transportation engineering, autonomous driving, traffic analysis, and logistics optimization
Transportation and Logistics Systems
Research on Large Language Models in Transportation and Logistics Systems
Revolutionizing Transportation with LLMs
How AI language models are transforming traffic systems and research
LLMs: Revolutionizing Transportation Systems
From Text Generation to Intelligent Transport Solutions
Sailing the Future
AI-Powered Precision in Maritime Navigation
Reimagining Transportation with LLM Agents
Using AI to enhance agent-based modeling for transportation systems
Intelligent Collision Avoidance for Autonomous Vehicles
Integrating LLMs for Ethical Decision-Making in Critical Scenarios
Foundation Models: The Future of Autonomous Driving
A Roadmap for Integrating AI into Safety-Critical Systems
Improving In-Car AI Conversations
Automated Benchmarking to Reduce AI Hallucinations
Smarter Traffic Prediction with Less Data
How AI Knowledge Distillation Makes Traffic Flow Prediction More Practical
AI-Guided Safety for Self-Driving Cars
Using simulation to improve LLM-based code generation for autonomous driving
Benchmarking Spatial Intelligence for Self-Driving Cars
First comprehensive test for vision-language models in autonomous driving
OmniDrive: 3D Vision-Language Integration for Autonomous Vehicles
Enhancing self-driving AI with counterfactual reasoning capabilities
Smart Search for Autonomous Vehicles
Enhancing self-driving capabilities with intelligent scenario retrieval
Safer AI Trajectories with LetsPi
Physics-Informed, Knowledge-Driven LLMs for Transportation Safety
PathGPT: Intelligent Route Personalization
Harnessing LLMs to Transform Navigation Beyond Shortest Paths
