An interdisciplinary survey on origin-destination flows modeling: Theory and techniques
Origin-destination (OD) flow modeling is an extensively researched subject across multiple
disciplines, such as the investigation of travel demand in transportation and spatial …
disciplines, such as the investigation of travel demand in transportation and spatial …
Spatio-temporal diffusion point processes
Spatio-temporal point process (STPP) is a stochastic collection of events accompanied with
time and space. Due to computational complexities, existing solutions for STPPs …
time and space. Due to computational complexities, existing solutions for STPPs …
Artificial Intelligence for Complex Network: Potential, Methodology and Application
Complex networks pervade various real-world systems, from the natural environment to
human societies. The essence of these networks is in their ability to transition and evolve …
human societies. The essence of these networks is in their ability to transition and evolve …
Diff-rntraj: A structure-aware diffusion model for road network-constrained trajectory generation
Trajectory data is essential for various applications. However, publicly available trajectory
datasets remain limited in scale due to privacy concerns, which hinders the development of …
datasets remain limited in scale due to privacy concerns, which hinders the development of …
Safe-NORA: Safe reinforcement learning-based mobile network resource allocation for diverse user demands
As mobile communication technologies advance, mobile networks become increasingly
complex, and user requirements become increasingly diverse. To satisfy the diverse …
complex, and user requirements become increasingly diverse. To satisfy the diverse …
Mobilitygpt: Enhanced human mobility modeling with a gpt model
Generative models have shown promising results in capturing human mobility
characteristics and generating synthetic trajectories. However, it remains challenging to …
characteristics and generating synthetic trajectories. However, it remains challenging to …
Beyond imitation: Generating human mobility from context-aware reasoning with large language models
Human mobility behaviours are closely linked to various important societal problems such
as traffic congestion, and epidemic control. However, collecting mobility data can be …
as traffic congestion, and epidemic control. However, collecting mobility data can be …
STAGE: a spatiotemporal-knowledge enhanced multi-task generative adversarial network (GAN) for trajectory generation
Individual trajectory data play a pivotal role in various application fields, such as urban
planning, traffic control, and epidemic simulation. Despite the diverse means for data …
planning, traffic control, and epidemic simulation. Despite the diverse means for data …
Large language models as urban residents: An llm agent framework for personal mobility generation
This paper introduces a novel approach using Large Language Models (LLMs) integrated
into an agent framework for flexible and efficient personal mobility generation. LLMs …
into an agent framework for flexible and efficient personal mobility generation. LLMs …
Be More Real: Travel Diary Generation Using LLM Agents and Individual Profiles
X Li, F Huang, J Lv, Z Xiao, G Li, Y Yue - arXiv preprint arXiv:2407.18932, 2024 - arxiv.org
Human mobility is inextricably linked to social issues such as traffic congestion, energy
consumption, and public health; however, privacy concerns restrict access to mobility data …
consumption, and public health; however, privacy concerns restrict access to mobility data …