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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

Accurate traffic flow prediction at specific road segments is essential for optimizing signal control, mitigating congestion, and improving the efficiency of urban transportation systems. Mobile Crowdsensing (MCS) enables large-scale monitoring by collecting geotagged data from participating vehicles and aggregating th...

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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