Exploring large language model based intelligent agents: Definitions, methods, and prospects

Y Cheng, C Zhang, Z Zhang, X Meng, S Hong… - arxiv preprint arxiv …, 2024 - arxiv.org
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …

Trafficgpt: Viewing, processing and interacting with traffic foundation models

S Zhang, D Fu, W Liang, Z Zhang, B Yu, P Cai, B Yao - Transport Policy, 2024 - Elsevier
With the promotion of ChatGPT to the public, Large language models indeed showcase
remarkable common sense, reasoning, and planning skills, frequently providing insightful …

[HTML][HTML] Large language models for intelligent transportation: A review of the state of the art and challenges

S Wandelt, C Zheng, S Wang, Y Liu, X Sun - Applied Sciences, 2024 - mdpi.com
Large Language Models (LLMs), based on their highly developed ability to comprehend and
generate human-like text, promise to revolutionize all aspects of society. These LLMs …

Vision language models in autonomous driving and intelligent transportation systems

X Zhou, M Liu, BL Zagar, E Yurtsever… - arxiv preprint arxiv …, 2023 - arxiv.org
The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving
(AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to …

Surrealdriver: Designing generative driver agent simulation framework in urban contexts based on large language model

Y **, X Shen, H Peng, X Liu, J Qin, J Li, J **e… - arxiv preprint arxiv …, 2023 - arxiv.org
Simulation plays a critical role in the research and development of autonomous driving and
intelligent transportation systems. However, the current simulation platforms exhibit …

Urban foundation models: A survey

W Zhang, J Han, Z Xu, H Ni, H Liu… - Proceedings of the 30th …, 2024 - dl.acm.org
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 …

Large language models as traffic signal control agents: Capacity and opportunity

S Lai, Z Xu, W Zhang, H Liu, H **ong - arxiv preprint arxiv:2312.16044, 2023 - arxiv.org
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 …

Open-ti: Open traffic intelligence with augmented language model

L Da, K Liou, T Chen, X Zhou, X Luo, Y Yang… - International Journal of …, 2024 - Springer
Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …

Large language model as parking planning agent in the context of mixed period of autonomous vehicles and Human-Driven vehicles

Y **, J Ma - Sustainable Cities and Society, 2024 - Elsevier
Autonomous vehicles (AVs) are anticipated to revolutionize future transportation,
necessitating updates to traffic infrastructure, particularly parking facilities, due to the unique …

LLM-empowered state representation for reinforcement learning

B Wang, Y Qu, Y Jiang, J Shao, C Liu, W Yang… - arxiv preprint arxiv …, 2024 - arxiv.org
Conventional state representations in reinforcement learning often omit critical task-related
details, presenting a significant challenge for value networks in establishing accurate …