From narrative to action: A hierarchical cognitive large language model agent framework for interpretable and adaptive human mobility behavior generation

Identifying latent activity behaviors and lifestyles using mobility data to describe urban dynamics

10.1140/epjds/s13688-023-00390-w · doi-reference

Trajsgan: A semantic-guiding adversarial network for urban trajectory generation

10.1109/tcss.2023.3235923 · doi-reference

Large language models as urban residents: An llm agent framework for personal mobility generation

10.52202/079017-3957 · doi-reference

Agentic large language models for day-to-day route choices

10.1016/j.trc.2025.105307 · doi-reference

Learning to generate synthetic human mobility data: A physics-regularized Gaussian process approach based on multiple kernel learning

10.1016/j.trb.2024.103064 · doi-reference

Security and privacy of smart cities: a survey, research issues and challenges

10.1109/comst.2018.2867288 · doi-reference

Limits of predictability in human mobility

10.1126/science.1177170 · doi-reference

Modelling the scaling properties of human mobility

10.1038/nphys1760 · doi-reference

Ontology in hybrid intelligence: A concise literature review

10.3390/fi16080268 · doi-reference

Fostering effective hybrid human-LLM reasoning and decision making

10.3389/frai.2024.1464690 · doi-reference

Returners and explorers dichotomy in human mobility

10.1038/ncomms9166 · doi-reference

An alliance of humans and machines for machine learning: Hybrid intelligent systems and their design principles

10.1016/j.techsoc.2021.101647 · doi-reference

The current state of activity-based travel demand modelling and some possible next steps

10.1080/01441647.2023.2198458 · doi-reference

Modelling accessibility using space-time prism concepts within geographical information systems

10.1080/02693799108927856 · doi-reference

Generating mobility networks with generative adversarial networks

10.1140/epjds/s13688-022-00372-4 · doi-reference

A survey on deep learning for human mobility

10.1145/3485125 · doi-reference

Approaching the limit of predictability in human mobility

10.1038/srep02923 · doi-reference

Mobility trajectory generation: a survey

10.1007/s10462-023-10598-x · doi-reference

Generative models for synthetic urban mobility data: A systematic literature review

10.1145/3610224 · doi-reference

Variational embedding of a hidden Markov model to generate human activity sequences

10.1016/j.trc.2021.103347 · doi-reference

ChatGPT outperforms crowd workers for text-annotation tasks

10.1073/pnas.2305016120 · doi-reference

Comprehensive econometric microsimulator for daily activity-travel patterns

10.3141/1894-07 · doi-reference

Agent-based models in urban transportation: Review, challenges, and opportunities

10.1186/s12544-023-00590-5 · doi-reference

SimMobility short-term: An integrated microscopic mobility simulator

10.3141/2622-02 · doi-reference

ALBATROSS: Multiagent, rule-based model of activity pattern decisions

10.3141/1706-16 · doi-reference

Hybrid intelligence systems as ontological mirrors of human cognition

10.1007/s43681-026-01032-3 · doi-reference