A Multi-Scale Traffic-State Gated Attention Network for Bus Arrival Time Prediction
Ru-Ping Liu, Xiao-Qi Yin, Jing'an Zhou et al.
· 0 citations
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Open access
Sep 2026
A Multi-Scale Traffic-State Gated Attention Network for Bus Arrival Time Prediction
Accurate bus arrival time prediction supports passenger information services and transit dispatching, but irregular sampling and time-varying traffic conditions make the task strongly nonlinear. This paper proposes a Spatial Attention Multi-Scale Traffic-State Gated Long Short-Term Memory (SA-MS-TG-LSTM) network. Seven...
Ru-Ping Liu, Xiao-Qi Yin, Jing'an Zhou et al.
· ICCK Transactions on Intelli... · 0 citations
Traffic Flow Prediction Model Based on Variant Hybrid Multi-Hop Graph Convolution
A variant hybrid graph convolution module is designed, which combines Chebyshev polynomial approximation and adaptive adjacency matrix, while balancing computational efficiency and enhancing the model’s ability to capture long-distance spatial dependencies.
Xuejun Li, Xiao-Qi Yin, Chen Gu et al.
· 0 citations