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Author

Pei-Kun Li

2 papers indexed here

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Oct 2026

A DRL-Based Lane-Changing Decision Model for Connected and Automated Trucks to Reduce Congestion in Freeway Merging Areas

Trucks, which primarily travel in the rightmost lane on freeways, are in direct conflict with on-ramp vehicles and constitute a key factor contributing to congestion in merging areas. To address this challenge, this study proposes an adaptive information-fusion and stability-driven deep reinforcement learning (ASR) mod...

Xiao-Yu He, Xu-Mei Chen, Pei-Kun Li et al. · 0 citations
Open access 2026

A cross-city knowledge integration framework for short-term metro passenger flow forecasting

Accurate short-term forecasting of metro passenger flow is crucial for metro operation management and service planning. However, conventional prediction models are typically developed using data from a single city, which may limit their ability to capture diverse passenger flow patterns and reduce forecasting performan...

Wen-Bo Lu, Jin-Hua Xu, Pei-Kun Li et al. · 0 citations

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