Jinshan Dai

Wuhan University of Technology

Papers

1

Total Citations

6

H-Index

1

About

Jinshan Dai is a leading researcher in intelligent transportation systems and automated logistics, with a primary focus on the operational efficiency of automated container terminals. His work centers on multi-agent systems (MAS) and distributed cooperative control, addressing critical challenges in port automation, particularly the congestion and coordination of Automated Rubber-Tired Gantries (ARTs) and other terminal vehicles. Dai’s most cited paper, "Study on Distributed Consistent Cooperative Control of Multi-ART in Automated Container Terminals" (2022, 6 citations), introduces a dynamic cooperative speed control schema that treats the terminal as a multi-agent system, offering a novel solution to quayside congestion in parallel-layout, side-loading operations. This contribution is foundational for enhancing real-time decision-making and traffic flow in smart ports. Though early in its citation impact, Dai’s work is gaining recognition for its practical implications in reducing delays and improving throughput in automated logistics hubs. His research bridges control theory and industrial application, positioning him as an emerging authority in the field of maritime automation and intelligent infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Study on Distributed Consistent Cooperative Control of Multi-ART in Automated Container Terminals
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Wuhan University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago