| Agent recommendation for agent-based urban-transportation systems | |
Cheng Chen1; Shuangshuang Li1 ; Bo Chen2; Ding Wen3
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| Source Publication | IEEE Intelligent Systems
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| 2011 | |
| Volume | 26Issue:6Pages:77-81 |
| Abstract | The 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. |
| Keyword | Agent Recommendation Agent-based Urban Transportation Systems |
| Indexed By | SCI |
| Language | 英语 |
| Document Type | 期刊论文 |
| Identifier | http://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 Author | Shuangshuang Li |
| Affiliation | 1.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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| IEEE INTELL SYST_Age（1966KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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