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Wenwen Gao

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Open access Aug 2026

A Feature-Enhanced Informer Model with Complex Network Representation for Multi-Step Short-Term Passenger Flow Forecasting in Urban Rail Transit

A feature-enhanced Informer framework that embeds Complex Network Representation (CNR) into the Informer architecture to jointly capture both the topological characteristics of the subway network and spatiotemporal passenger flow dynamics is developed, thereby enabling efficient multi-step passenger flow forecasting.

Gang Li, Junfeng An, Junguo Si et al. · 0 citations