A survey of large language models for autonomous driving
Autonomous driving technology, a catalyst for revolutionizing transportation and urban
mobility, has the tend to transition from rule-based systems to data-driven strategies …
mobility, has the tend to transition from rule-based systems to data-driven strategies …
Open-ti: Open traffic intelligence with augmented language model
Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
Towards knowledge-driven autonomous driving
This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …
investigation highlights the limitations of current autonomous driving systems, in particular …
Large language models as traffic signal control agents: Capacity and opportunity
Traffic signal control is crucial for optimizing the efficiency of road network by regulating
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …
traffic light phases. Existing research predominantly focuses on heuristic or reinforcement …
Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment
Urban environments, characterized by their complex, multi-layered networks encompassing
physical, social, economic, and environmental dimensions, face significant challenges in the …
physical, social, economic, and environmental dimensions, face significant challenges in the …
Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks
Mobility analysis is a crucial element in the research area of transportation systems.
Forecasting traffic information offers a viable solution to address the conflict between …
Forecasting traffic information offers a viable solution to address the conflict between …
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Machine learning techniques are now integral to the advancement of intelligent urban
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
services, playing a crucial role in elevating the efficiency, sustainability, and livability of …
Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment
Driver behavior is a critical factor in driving safety, making the development of sophisticated
distraction classification methods essential. Our study presents a Distracted Driving …
distraction classification methods essential. Our study presents a Distracted Driving …
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Autonomous Driving (AD) faces crucial hurdles for commercial launch, notably in the form of
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
This groundbreaking study explores the expanse of Large Language Models (LLMs), such
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …