Mt-KaRRi is a highly scalable ride-pooling dispatcher that achieves millisecond-scale response times for millions of requests, supporting unprecedented-scale urban simulations.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Dynamic traffic emissions from an online-calibrated SUMO model improve hyperlocal NO2 hotspot predictions and peak representation over static baselines when coupled to the CAIRDIO dispersion model.
citing papers explorer
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Advancing Dynamic Ride-Pooling Simulation -- A Highly Scalable Dispatcher
Mt-KaRRi is a highly scalable ride-pooling dispatcher that achieves millisecond-scale response times for millions of requests, supporting unprecedented-scale urban simulations.
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Hyperlocal urban NO2 hotspot modeling driven by microscopic traffic data
Dynamic traffic emissions from an online-calibrated SUMO model improve hyperlocal NO2 hotspot predictions and peak representation over static baselines when coupled to the CAIRDIO dispersion model.