Peikun Li

According to our database, Peikun Li authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

IPF-HMGNN: A novel integrative prediction framework for metro passenger flow.

Wenbo Lu, Yong Zhang, Hai L. Vu, Jinhua Xu, Peikun Li

CoRR, 2024

METcross: A framework for short-term forecasting of cross-city metro passenger flow.

Wenbo Lu, Jinhua Xu, Peikun Li, Ting Wang, Yong Zhang

CoRR, 2024

2023

Estimating urban rail transit passenger inflow caused by special events occurrences fusing multi-source data.

Wenbo Lu, Yong Zhang, Peikun Li, Ting Wang

Neural Comput. Appl., August, 2023

MOHP-EC: A Multiobjective Hierarchical Prediction Framework for Urban Rail Transit Passenger Flow.

Wenbo Lu, Jinhua Xu, Yong Zhang, Ting Wang, Peikun Li

IEEE Intell. Transp. Syst. Mag., 2023

Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow.

Wenbo Lu, Yong Zhang, Peikun Li, Ting Wang

Eng. Appl. Artif. Intell., 2023

2020

Research on Sample Selection of Urban Rail Transit Passenger Flow Forecasting Based on SCBP Algorithm.

Wenbo Lu, Chaoqun Ma, Peikun Li

IEEE Access, 2020