|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
| ASCII Text | x | ||
| ZhenJiang Li, Cheng Chen, Kai Wang, "Cloud Computing for Agent-Based Urban Transportation Systems," IEEE Intelligent Systems, vol. 26, no. 1, pp. 73-79, January/February, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2011.10, author = {ZhenJiang Li and Cheng Chen and Kai Wang}, title = {Cloud Computing for Agent-Based Urban Transportation Systems}, journal ={IEEE Intelligent Systems}, volume = {26}, number = {1}, issn = {1541-1672}, year = {2011}, pages = {73-79}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2011.10}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Cloud Computing for Agent-Based Urban Transportation Systems IS - 1 SN - 1541-1672 SP73 EP79 EPD - 73-79 A1 - ZhenJiang Li, A1 - Cheng Chen, A1 - Kai Wang, PY - 2011 KW - Intelligent transportation systems KW - intelligent systems KW - agent-based traffic management systems KW - mobile agents KW - urban traffic KW - mulitagent systems VL - 26 JA - IEEE Intelligent Systems ER - | |||
Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to effectively use of traffic strategy agents and mass transport data. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile multiagent technology. An intelligent transportation cloud could provide services such as decision support, a standard development environment for traffic management strategy, and so on. Moreover, the cloud can generate, store, manage, test, optimize, and use mobile traffic strategy agents to maximize advantages of cloud computing and agent technology to effectively control and manage urban-traffic systems.
1. D.C. Gazis, "Traffic Control: From Hand Signals to Computers," Proc. IEEE, vol. 59, no. 7, 1971, pp. 1090–1099.
2. F.-Y. Wang, "Parallel System Methods for Management and Control of Complex Systems," Control and Decision, vol. 19, no. 5, 2004, pp. 485–489.
3. F.-Y. Wang, "Toward a Revolution in Transportation Operations: AI for Complex Systems," IEEE Intelligent Systems, vol. 23, no. 6, 2008, pp. 8–13.
4. F.-Y. Wang, "Parallel Control and Management for Intelligent Transportation Systems: Concepts, Architectures, and Applications," IEEE Trans. Intelligent Transportation Systems, vol. 11, no. 3, 2010, pp. 1–9.
5. B. Chen and H. H. Cheng, "A Review of the Applications of Agent Technology in Traffic and Transportation Systems," IEEE Trans. Intelligent Transportation Systems, vol. 11, no. 2, 2010, pp. 485–497.
6. M.C. Choy, D. Srinivasan, and R.L. Cheu, "Cooperative, Hybrid Agent Architecture for Real-Time Traffic Signal Control," IEEE Trans. Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 33, no. 5, 2003, pp. 597–607.
7. M.C. Choy, D. Srinivasan, and R.L. Cheu, "Neural Networks for Continuous Online Learning and Control," IEEE Trans. Neural Networks, vo1. 7, no. 6, 2006, pp. 1511–1531.
8. B.P. Gokulan and D. Srinivasan, "Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control," IEEE Trans. Intelligent Transportation Systems, vol. 11, no. 3, 2010, pp. 714–727.
9. N. Suri, K.M. Ford, and A.J. Cafias, "An Architecture for Smart Internet Agents," Proc. 11th Int'l FLAIRS Conf., AAAI Press, 1998, pp. 116–120.
10. F.-Y. Wang, "Agent-Based Control for Networked Traffic Management Systems," IEEE Intelligent Systems, vol. 20, no. 5, 2005, pp. 92–96.
11. 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.
12. I. Foster et al., "Cloud Computing and Grid Computing 360-Degree Compared," Proc. Grid Computing Environments Workshop, IEEE Press, 2008, pp. 1–10.

