1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2024
A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions
Ping Huang, Yuxin He, Hao Wang +2
Accurate short-term forecasts of passenger flow in metro systems under delay conditions are crucial for emergency response and service recovery, which pose significant challenges a…
cs.LG2024★ 1 cited
DelayPTC-LLM: Metro Passenger Travel Choice Prediction under Train Delays with Large Language Models
Chen Chen, Yuxin He, Hao Wang +2
Train delays can propagate rapidly throughout the Urban Rail Transit (URT) network under networked operation conditions, posing significant challenges to operational departments. A…