The Community for Technology Leaders
RSS Icon
Issue No.06 - November/December (2011 vol.26)
pp: 77-81
Cheng Chen , Chinese Academy of Sciences
Shuang Shuang Li , Chinese Academy of Sciences
Bo Chen , Michigan Technological University
Ding Wen , National University of Defense Technology
<p>Mobile-agent technology has been adopted in many transportation fields to take advantages of different agents to deal with dynamic changes and uncertainty in traffic environments. However, few research studies have been conducted in urban-transportation systems on decision making about what kind of agents to be used in coping with a specific traffic states. With the increasing availability of control and service agents for agent-based urban-transportation systems, an agent recommendation system is necessary to manage and select those agents so original objectives can be fulfilled. In this article, the authors address issues related to the creation of such a platform.</p>
Intelligent transportation systems, intelligent systems, mobile agent, agent recommendation, agent-based urban transportation systems
Cheng Chen, Shuang Shuang Li, Bo Chen, Ding Wen, "Agent Recommendation for Agent-Based Urban-Transportation Systems", IEEE Intelligent Systems, vol.26, no. 6, pp. 77-81, November/December 2011, doi:10.1109/MIS.2011.94
1. Z-.J. Li, C. Chen, and K. Wang, "Cloud Computing for Agent-Based Urban Transportation Systems," IEEE Intelligent Systems, vol. 26, no. 1, 2011, pp. 73–79.
2. 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.
3. F.-Y. Wang, "Agent-Based Control for Networked Traffic Management Systems," IEEE Intelligent Systems, vol. 20, no. 5, 2005, pp. 92–96.
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. F.-Y. Wang, "Toward a Revolution in Transportation Operations: AI for Complex Systems," IEEE Intelligent Systems, vol. 23, no. 6, 2008, pp. 8–13.
6. 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.
7. B. Chen, H.H. Cheng, and J. Palen, "Integrating Mobile Agent Technology with Multi-agent Systems for Distributed Traffic Detection and Management Systems," Transportation Research Part C: Emerging Technologies, vol. 17, no. 1, 2009, pp. 1–10.
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. D. Srinivasan, M.C. Choy, and R.L. Cheu, "Neural Networks for Real-Time Traffic Signal Control," IEEE Trans. Intelligent Transportation Systems, vol. 7, 2006, pp. 261–272.
10. P.L. Gregoire et al., "Urban Traffic Control Based on Learning Agents," Proc. 2007 IEEE Intelligent Transportation Systems Conf., IEEE CS Press, 2007, pp. 916–921.
11. S. Franklin and A. Graesser, "Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents," Proc. 3rd Int'l Workshop on Agent Theories, Architectures, and Languages, Springer-Verlag, 1996, pp. 21–35.
12. A.S. Rao and M.P. Georgeff, "BDI-Agents: From Theory to Practice," Proc. 1st Int'l Conf. Multiagent Systems (ICMAS), 1995.
4 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool