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An AI-Supported Methodology of Transport Demand Estimation
We propose an AI-supported methodology for estimating demand for new public transport services, such as flexible schedules or demand-responsive transport, using sparse transport data and without transport simulation models. The approach can be rapidly adapted to changing weather conditions or singul
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