Title :
Waterborne traffic flow guidance system based on multi-agent
Author :
Zhao Lining ; Zhou Minghua ; Hao Jiangling
Author_Institution :
Inst. of Nautical Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
Waterborne traffic flow guidance is one of the important research contents for intelligent waterborne transportation system. In view of features of inland river traffic management, an improved structure model for Multi-Agent system is put forward in the paper originated from federal model. Based on the model, waterborne traffic control and guidance system is designed, key techniques are discussed and a grading cooperating model is proposed. By simulation experiments, it is proved that the system could control traffic flow effectively and avoid vessel traffic jam.
Keywords :
multi-agent systems; rivers; traffic control; traffic engineering computing; transportation; federal model; inland river traffic management; intelligent waterborne transportation system; multiagent system; vessel traffic jam; waterborne traffic control; waterborne traffic flow guidance system; Artificial intelligence; Forecasting; Multiagent systems; Rivers; Software; Traffic control; Multi-Agent System (MAS); cooperation; traffic flow guidance; waterborne;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623239