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Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks

Z Zhang, Y Sun, Z Wang, Y Nie, X Ma, P Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Where would i go next? large language models as human mobility predictors

X Wang, M Fang, Z Zeng, T Cheng - arXiv preprint arXiv:2308.15197, 2023 - arxiv.org
Accurate human mobility prediction underpins many important applications across a variety
of domains, including epidemic modelling, transport planning, and emergency responses …
被引用次数：24 相关文章 所有 2 个版本
[PDF] arxiv.org

Explainable Traffic Flow Prediction with Large Language Models

X Guo, Q Zhang, M Peng, M Zhua - arXiv preprint arXiv:2404.02937, 2024 - arxiv.org
Traffic flow prediction provides essential future views in the intelligent transportation system.
Explainable predictions offer valuable insights into the factors influencing traffic patterns …
被引用次数：1 相关文章 所有 2 个版本
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Large Language Models for Travel Behavior Prediction

B Mo, H Xu, D Zhuang, R Ma, X Guo, J Zhao - arXiv preprint arXiv …, 2023 - arxiv.org
Travel behavior prediction is a fundamental task in transportation demand management.
The conventional methods for travel behavior prediction rely on numerical data to construct …
被引用次数：5 相关文章 所有 2 个版本
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Spatial-temporal large language model for traffic prediction

C Liu, S Yang, Q Xu, Z Li, C Long, Z Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Traffic prediction, a critical component for intelligent transportation systems, endeavors to
foresee future traffic at specific locations using historical data. Although existing traffic …
被引用次数：14 相关文章 所有 2 个版本
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Exploring large language models for human mobility prediction under public events

Y Liang, Y Liu, X Wang, Z Zhao - arXiv preprint arXiv:2311.17351, 2023 - arxiv.org
Public events, such as concerts and sports games, can be major attractors for large crowds,
leading to irregular surges in travel demand. Accurate human mobility prediction for public …
被引用次数：13 相关文章 所有 2 个版本
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TPLLM: A traffic prediction framework based on pretrained large language models

Y Ren, Y Chen, S Liu, B Wang, H Yu, Z Cui - arXiv preprint arXiv …, 2024 - arxiv.org
Traffic prediction constitutes a pivotal facet within the purview of Intelligent Transportation
Systems (ITS), and the attainment of highly precise predictions holds profound significance …
被引用次数：5 相关文章 所有 2 个版本
[PDF] arxiv.org

Chatgpt is on the horizon: Could a large language model be all we need for intelligent transportation?

O Zheng, M Abdel-Aty, D Wang, Z Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
ChatGPT, developed by OpenAI, is one of the largest Large Language Models (LLM) with
over 175 billion parameters. ChatGPT has demonstrated the impressive capabilities of LLM …
被引用次数：39 相关文章 所有 3 个版本
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Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

J Wang, R Jiang, C Yang, Z Wu, M Onizuka… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces a novel approach using Large Language Models (LLMs) integrated
into an agent framework for flexible and efficient personal mobility generation. LLMs …
被引用次数：3 相关文章 所有 2 个版本
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Large Language Models Powered Context-aware Motion Prediction

X Zheng, L Wu, Z Yan, Y Tang, H Zhao… - arXiv preprint arXiv …, 2024 - arxiv.org
Motion prediction is among the most fundamental tasks in autonomous driving. Traditional
methods of motion forecasting primarily encode vector information of maps and historical …
被引用次数：1 相关文章 所有 2 个版本