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Multi-Generative Agent Collective Decision-Making in Urban Planning: A Case Study for Kendall Square Renovation
In this study, we develop a multiple-generative agent system to simulate community decision-making for the redevelopment of Kendall Square's Volpe building.
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
The results suggest that our proposed method enhances both accuracy and fairness in forecasting ride-hailing demand, ultimately resulting in more equitable vehicle rebalancing in subsequent operations.
Large Language Models for Travel Behavior Prediction
Travel behavior prediction is a fundamental task in transportation demand management.
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