Agent recommendation for agent-based urban-transportation systems
Cheng Chen1; Shuangshuang Li1; Bo Chen2; Ding Wen3
Source PublicationIEEE Intelligent Systems
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
Document Type期刊论文
Corresponding AuthorShuangshuang Li
2.Michigan Technological University
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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