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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 approaches fix a prio
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