Issue No. 04 - July/August (2011 vol. 26)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2011.65
Kai Wang , National University of Defense Technology and Chinese Academy of Sciences
Zhen Shen , Chinese Academy of Sciences
<p>It is challenging to establish accurate mathematical models for complex systems, and experiments on them are generally costly or even impossible, making it difficult to analyze, control, and manage them. The ACP approach provides a way to attack this difficulty. However, with the agent technologies for the A (artificial societies) part, the burdens from computing agent behaviors and the algorithms' evaluating process are usually very heavy. Fortunately, computing hardware is going through a revolution with the development of graphics processing units (GPUs). A single GPU can provide numerous threads running together and is suitable for parallel computing. This article focuses on the C (computational experiments) part of the ACP approach. It explains the advantages of cloud computing and GPUs and presents the architectures of the GPU-based cloud computing for the transportation systems.</p>
Intelligent transportation systems, intelligent systems, GPU, NVIDIA, artificial societies, artificial transportation systems
Z. Shen and K. Wang, "Artificial Societies and GPU-Based Cloud Computing for Intelligent Transportation Management," in IEEE Intelligent Systems, vol. 26, no. , pp. 22-28, 2011.