TrafficGPT: Viewing, processing and interacting with traffic foundation models-Reference-Cited by-同舟云学术

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TrafficGPT: Viewing, processing and interacting with traffic foundation models

Published:2024-05 Issue: Volume:150 Page:95-105
ISSN:0967-070X
Container-title:Transport Policy
language:en
Short-container-title:Transport Policy

Author:

Zhang Siyao^ORCID,Fu Daocheng,Liang Wenzhe,Zhang Zhao,Yu Bin^ORCID,Cai Pinlong^ORCID,Yao Baozhen^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

1. Basic concepts of movement data;Andrienko,2008

2. Interactive visual clustering of large collections of trajectories;Andrienko,2009

3. Visual analytics for understanding spatial situations from episodic movement data;Andrienko;KI-Künstliche Intelligenz,2012

4. Chatgpt Usage and Limitations;Azaria,2022

5. Qwen Technical Report;Bai,2023

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A method to promote safe cycling powered by large language models and AI agents;MethodsX;2024-12

2. Urban Traffic Control Meets Decision Recommendation System: A Survey and Perspective;IEEE/CAA Journal of Automatica Sinica;2024-10

3. An Intelligent Deep Learning Framework for Traffic Flow Imputation and Short-term Prediction Based on Dynamic Features;Knowledge-Based Systems;2024-09

4. Urban Foundation Models: A Survey;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Large Language Models for Intelligent Transportation: A Review of the State of the Art and Challenges;Applied Sciences;2024-08-23

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