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Generative agents show promise in simulating urban mobility behavior

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new method for simulating urban mobility behavior using generative agents (GAs) that aligns with real-world travel survey data. While GAs with tuned prompts show promise in mimicking modal split without disruptions, they do not yet match survey data on a trip-by-trip basis. Notably, GAs demonstrate an ability to adapt to unforeseen events, and a typed classifier, Jev-1.13 TypeSafe, achieved strong results without generating text, suggesting alternative approaches to complex decision-making simulation. AI

IMPACT This research could improve urban planning and transportation services by enabling more realistic simulations of human mobility choices.

RANK_REASON Academic paper detailing a new methodology for agent-based simulation.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Generative agents show promise in simulating urban mobility behavior

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Academic paper detailing a new methodology for agent-based simulation.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yves Bru, Kamaldeep Singh Oberoi, Benoit Gaudou ·

    Towards Adaptive and Real-Survey-Aligned Simulated Urban Mobility Behaviour of Generative Agents

    arXiv:2610.22407v1 Announce Type: cross Abstract: In existing agent-based simulations of multimodal urban mobility, agents, representing humans, choose their travel modes either using discrete choice or machine learning models fitted on structured travel survey data, or with rule…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Benoit Gaudou ·

    Towards Adaptive and Real-Survey-Aligned Simulated Urban Mobility Behaviour of Generative Agents

    In existing agent-based simulations of multimodal urban mobility, agents, representing humans, choose their travel modes either using discrete choice or machine learning models fitted on structured travel survey data, or with rules explicitly written by the domain experts. Such a…

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