Agent recommendation for agent-based urban-transportation systems
Cheng Chen1; Shuangshuang Li1; Bo Chen2; Ding Wen3
Source PublicationIEEE Intelligent Systems
2011
Volume26Issue:6Pages:77-81
AbstractThe agent computing paradigm has been developing rapidly over the last few decades
and is becoming one of the powerful technologies in the development of large-scale complex systems.The characteristics of mobile agents, such as autonomy,mobility, and adaptability, make them a good candidate for a traffi c management system because they can deal with the changes and uncertainty in dynamic traffi c environments. A review of agent-technology applications in traffic and transportation systems shows that intelligent agent techniques and methods have been applied to many aspects of traffi c and transportation systems, including modeling, simulation, dynamic routing, congestion management, and intelligent traffi c control. Although researchers in the field have made signifi cant efforts in applying agent technology in traffi c and transportation systems, little research has looked at the dynamic selection of the most appropriate control agent to cope with specifi c traffi c states in urban transportation systems.
KeywordAgent Recommendation Agent-based Urban Transportation Systems
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22072
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorShuangshuang Li
Affiliation1.中科院自动化所
2.Michigan Technological University
3.国防科技大学
Recommended Citation
GB/T 7714
Cheng Chen,Shuangshuang Li,Bo Chen,et al. Agent recommendation for agent-based urban-transportation systems[J]. IEEE Intelligent Systems,2011,26(6):77-81.
APA Cheng Chen,Shuangshuang Li,Bo Chen,&Ding Wen.(2011).Agent recommendation for agent-based urban-transportation systems.IEEE Intelligent Systems,26(6),77-81.
MLA Cheng Chen,et al."Agent recommendation for agent-based urban-transportation systems".IEEE Intelligent Systems 26.6(2011):77-81.
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