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Fei Meng

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Open access Aug 2026

Location-private traffic flow prediction via an encrypted geometric recruitment framework

This work proposes a location privacy-preserving traffic flow prediction framework that moves all location-sensitive operations into an encrypted recruitment protocol and builds a Gated Recurrent Unit (GRU) based traffic flow prediction model that operates on high-fidelity time series under strict location privacy cons...

Fei Meng, Hong-Yu Huang, Cui Sun et al. · 0 citations
Open access Jul 2026

MMP-Informer: an informer-based traffic flow prediction model by leveraging the previous cycle's max-min peaks

The proposed Multi-road Multi-Peak-aware Informer eliminates the high cost of single-road separate training, breaks through the cross-road transferability bottleneck of traditional models, maintains stable accuracy in both short-term and long-term prediction, and has high practical engineering value for large-scale dep...

Fei Meng, Subo Zhao, Qing Zhou · 0 citations

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