CASIA OpenIR  > 智能制造技术与系统研究中心  > 先进制造与自动化
A Framework for Artificial Transportation Systems: From Computer Simulations to Computational Experiments
Fei-Yue Wang; Shuming Tang
2005-09-01
Conference NameThe Proceedings of the 8th IEEE International Conference on Intelligent Transportation Systems
Source PublicationIEEE INTELLIGENT SYSTEMS
Conference DateSeptember 13-16, 2005
Conference PlaceVienna, Austria
AbstractThis paper outlines the basic concepts, major methods, and key issues for the development of artificial transportation systems, which is a natural extension of computer simulations for systems analysis and decision support of transportation systems. The main idea is to integrate various transportation models into “artificial” transportation systems and convert computers into experimental “fields” for transportation analysis and decision making and evaluations. The keys to successful applications of such artificial transportations are the availability of agent-based programming and modeling, large scale distributed computing techniques, and new concepts and methods developed in complex systems, such as, artificial societies, computational experiments, and parallel systems.
KeywordDecision Support Systems Digital Simulation Multi-agent Systems Object-oriented Programming Traffic Engineering Computing Transportation Agent-based Programming Artificial Transportation Systems Computational Experiments Decision Support Systems
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12402
Collection智能制造技术与系统研究中心_先进制造与自动化
Corresponding AuthorFei-Yue Wang
Recommended Citation
GB/T 7714
Fei-Yue Wang,Shuming Tang. A Framework for Artificial Transportation Systems: From Computer Simulations to Computational Experiments[C],2005.
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