CFP last date
20 January 2025
Reseach Article

Cloud Computing for Agent-based Traffic Management Systems

Published on February 2013 by Manoj A Patil, Khyamling A Parane, D. Rajesh
International Conference on Recent Trends in Information Technology and Computer Science 2012
Foundation of Computer Science USA
ICRTITCS2012 - Number 5
February 2013
Authors: Manoj A Patil, Khyamling A Parane, D. Rajesh
c41a7936-a3b8-4243-b24c-615db9f5a375

Manoj A Patil, Khyamling A Parane, D. Rajesh . Cloud Computing for Agent-based Traffic Management Systems. International Conference on Recent Trends in Information Technology and Computer Science 2012. ICRTITCS2012, 5 (February 2013), 5-9.

@article{
author = { Manoj A Patil, Khyamling A Parane, D. Rajesh },
title = { Cloud Computing for Agent-based Traffic Management Systems },
journal = { International Conference on Recent Trends in Information Technology and Computer Science 2012 },
issue_date = { February 2013 },
volume = { ICRTITCS2012 },
number = { 5 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/icrtitcs2012/number5/10276-1374/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Trends in Information Technology and Computer Science 2012
%A Manoj A Patil
%A Khyamling A Parane
%A D. Rajesh
%T Cloud Computing for Agent-based Traffic Management Systems
%J International Conference on Recent Trends in Information Technology and Computer Science 2012
%@ 0975-8887
%V ICRTITCS2012
%N 5
%P 5-9
%D 2013
%I International Journal of Computer Applications
Abstract

Increased traffic congestion and the associated pollution are forcing everyone in transportation to think about rapid changes in traffic processes and procedures [2]. This paper titled "Cloud Computing for Agent-Based Traffic Management Systems" illustrates the use of autonomy, mobility, and adaptability of mobile agents to deal with dynamic vehicular traffic over the cloud environment [1]. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to use traffic strategy agents and mass transport data effectively. This paper also 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 multi agent technology [3]. Intelligent transportation clouds could provide services such as decision support and a standard development environment for traffic management strategies. With mobile agent technology, an urban-traffic management system based on Agent-Based Distributed and Adaptive Platforms for Transportation Systems (ADAPTS) [3] is both feasible and effective. However, the large-scale use of mobile agents will lead to the emergence of a complex, powerful organization layer that requires enormous computing and power resources. To deal with this problem, the proposed system also illustrates an urban-traffic management system using intelligent traffic clouds.

References
  1. F. -Y. Wang, "Parallel System Methods for Management and Control of Complex Systems," Control and Decision, vol. 19, no. 5, 2004, pp. 485–489.
  2. F. -Y. Wang, "Toward a Revolution in Transportation Operations: AI for Complex Systems," IEEE Intelligent Systems, vol. 23, no. 6, 2008, pp. 8–13.
  3. 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.
  4. 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.
  5. M. C. Choy, D. Srinivasan, and R. L. Cheu, "Neural Networks for Continuous Online Learning and 9. Neural networks, vol. 7, no. 2006, pp. 1511-1531.
  6. 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.
  7. F. Y. Wang, ?Agent-Based Control for Networked Traffic Management Systems,? IEEE Intelligent Systems, vol. 20, no. 5, 2005, pp. 92–96.
  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. 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.
  10. I. Foster et al. , "Cloud Computing and Grid Computing 360-Degree Compared," Proc. Grid Computing Environments Workshop, IEEE Press, 2008, pp. 1–10.
  11. 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.
  12. D. D. D. Suri Babu1, M. Chinna Rao2 and K. Ravi Kumar3 "AGENT-BASED URBAN TRANSPORTATION SYSTEMS USING CLOUDS" IJART, Vol. 3 Issue 1, August 2012, 35- 42.
  13. ZhenJiang Li and cheng chen, kai wang "cloud computing for agent based urban transport systems" IEEE journals on Intelligent Transportation systems 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Agents Cloud Computing Distributed