Research on Traffic Control Algorithm Based on Multi-AGV Path Planning

Author:

Yang Meng,Bian Yongming,Ma Lizhong,Liu Guangjun,Zhang Hao

Funder

National Postdoctoral Program for Innovative Talents

State Key Laboratory of Fluid Power and Mechatronic Systems

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Reference11 articles.

1. An AGV Control Algorithm in Automated Terminal Based on Ant-agent;lan;Journal of transportation systems engineering and information technology,0

2. An Improved Acceleration Method Based on Multi-Agent System for AGVs Conflict-Free Path Planning in Automated Terminals

3. A prioritized planning algorithm of trajectory coordination based on time windows for multiple AGVs with delay disturbance

4. Multi-AGV scheduling for conflict-free path planning in automated container terminals

5. Research on Multi-AGVs Scheduling Problem for Intelligence Warehouse System;qiu,2017

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1. A review of recent advances, techniques, and control algorithms for automated guided vehicle systems;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-06-02

2. Research on AGV scheduling and potential conflict resolution in port scenarios: based on improved genetic algorithm;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-04-21

3. Path Planning for Intelligent autonomous vehicles in container terminals based on dynamic traffic flow assignment;2023 7th International Conference on Transportation Information and Safety (ICTIS);2023-08-04

4. Informed simulation for dynamic path finding in human-operated container terminals;Simulation Modelling Practice and Theory;2023-05

5. Layered-Cost-Map-Based Traffic Management for Multiple AMRs via a DDS;Applied Sciences;2022-08-12

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