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20242026
most citedLeveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations

1 citations · 2 across the 10 of their papers we have counts for

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cs.LG2024

Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities

Xiannan Huang, Yixin Chen, Quan Yuan +1

Predicting future bus trip chains for an existing user is of great significance for operators of public transit systems. Existing methods always treat this task as a time-series pr…

cs.LG2024

Predicting Subway Passenger Flows under Incident Situation with Causality

Xiannan Huang, Shuhan Qiu, Quan Yuan +1

In the context of rail transit operations, real-time passenger flow prediction is essential; however, most models primarily focus on normal conditions, with limited research addres…

cs.LG2024★ 1 cited

Leveraging Intra-Period and Inter-Period Features for Enhanced Passenger Flow Prediction of Subway Stations

Xiannan Huang, Chao Yang, Quan Yuan

Accurate short-term passenger flow prediction of subway stations plays a vital role in enabling subway station personnel to proactively address changes in passenger volume. Despite…

cs.LG2024

Incorporating Long-term Data in Training Short-term Traffic Prediction Model

Xiannan Huang, Shuhan Qiu, Yan Cheng +2

Short-term traffic volume prediction is crucial for intelligent transportation system and there are many researches focusing on this field. However, most of these existing research…

cs.CL2024★ 1 cited

Enhancing Traffic Prediction with Textual Data Using Large Language Models

Xiannan Huang

Traffic prediction is pivotal for rational transportation supply scheduling and allocation. Existing researches into short-term traffic prediction, however, face challenges in adeq…