arXiv Machine Learning July 21, 2026 By Ziteng Li, Yanan Xin, Tina Comes, Serge Hoogendoorn

Towards Reliable Zero-Shot Crowd Forecasting: Evaluating Time Series Foundation Models for Special Event Pedestrian Forecasting

Read the original on arXiv Machine Learning →

arXiv:2607. 17758v1 Announce Type: new Abstract: Managing massive crowds during infrequent special events requires reliable real-time pedestrian-flow forecasting to ensure public safety and operational efficiency.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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