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New model generates realistic daily activity schedules using reusable motifs

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Act-HiMotif, a novel hierarchical generative model designed to create realistic daily activity schedules. This model addresses the challenge of generating diverse activity structures by introducing reusable "activity-structure motifs" as an intermediate representation. Act-HiMotif first categorizes days into home-only or active, then uses a motif to guide the generation of activity sequences, and finally allocates durations that precisely sum to a full day. Experiments on large-scale travel survey data indicate that Act-HiMotif surpasses existing methods in both in-distribution and spatial generalization scenarios. AI

IMPACT This model could improve the accuracy of activity-based travel modeling and human behavior simulations.

RANK_REASON The cluster contains a research paper detailing a new generative model for activity schedules. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New model generates realistic daily activity schedules using reusable motifs

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The cluster contains a research paper detailing a new generative model for activity schedules. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yushi Bai, Kang Liu, Ling Yin, Wei Wang, Yilin Lyu ·

    Act-HiMotif: Hierarchical Daily Activity Schedule Generation via Learned Activity-Structure Motifs

    arXiv:2611.06038v1 Announce Type: new Abstract: Generating daily activity schedules from individual attributes (e.g., age and income) is valuable for activity-based travel modeling and human behavior simulation. The task is challenging because exact activity structures follow a h…

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