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Issue No.06 - November/December (2008 vol.23)
pp: 8-13
Fei-Yue Wang , Chinese Academy of Sciences
ABSTRACT
This article presents an parallel traffic management system for integrated control and management of urban transportation systems. This system's construction and operation are based on the ACP (artificial, computational, parallel) approach, which consists of modeling with artificial systems, analysis with computational experiments, and operation through parallel execution for control and management of complex systems with social and behavioral dimensions. This article is part of a special issue on AI in China.
INDEX TERMS
ACP, complex systems, artificial systems, computational experiments, parallel execution
CITATION
Fei-Yue Wang, "Toward a Revolution in Transportation Operations: AI for Complex Systems", IEEE Intelligent Systems, vol.23, no. 6, pp. 8-13, November/December 2008, doi:10.1109/MIS.2008.112
REFERENCES
1. F.-Y. Wang, "Driving into the Future with ITS," IEEE Intelligent Systems, vol. 21, no. 3, 2006, pp. 94–95.
2. F.-Y. Wang, "Agent-Based Control for Networked Traffic Management Systems," IEEE Intelligent Systems, vol. 20, no. 5, 2005, pp. 92–96.
3. F.-Y. Wang, "Computational Experiments for Behavior Analysis and Decision Evaluation in Complex Systems," J. Systems Simulation, vol. 16, no. 5, 2004, pp. 893–897.
4. F.-Y. Wang, "Parallel Systems for Control and Management of Complex Systems," J. Control and Decision, vol. 19, no. 5, 2004, pp. 485–489.
5. F.-Y. Wang and S. Tang, "Artificial Societies for Integrated and Sustainable Development of Metropolitan Systems," IEEE Intelligent Systems, vol. 19, no. 4, 2004, pp. 82–87.
6. F.-Y. Wang, "Toward a Paradigm Shift in Social Computing: The ACP Approach," IEEE Intelligent Systems, vol. 22, no. 5, 2007, pp. 65–67.
7. N. Zhang et al., "DynaCAS: Computational Experiments and Decision Support for ITS," IEEE Intelligent Systems, vol. 23, no. 6, pp. 19–23.
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