Agent Based Urban Traffic and Transportation Control with Cloud Computing

International Journal of Computer Trends and Technology (IJCTT)          
© - Issue 2012 by IJCTT Journal
Volume-3 Issue-1                           
Year of Publication : 2012
Authors :Mirza Mohsin Raza, R. Rammohan Rao.


Mirza Mohsin Raza, R. Rammohan Rao."Agent Based Urban Traffic and Transportation Control with Cloud Computing"International Journal of Computer Trends and Technology (IJCTT),V3(1):108-112 Issue 2012 .ISSN Published by Seventh Sense Research Group.

Abstract: - The agent computing paradigm is rapidly emerging as one of the powerful technologies for the development of largescale distributed systems to deal with the uncertainty in a dynamic environment. The domain of traffic and transportation systems is well suited for an agent-based approach because transportation systems are usually geographically distributed in dynamic changing environments. Our paper shows that the techniques and methods resulting from the field of agent and multiagent systems have been applied to many aspects of traffic and transportation systems, including modeling and simulation, dynamic routing and congestion management, and intelligent traffic control. This paper examines an agent-based approach and its applications with cloud computing in different modes of transportation, including roadway, railway, and air transportation. This paper also addresses some critical issues in developing agent-based traffic control and management systems, such as interoperability, flexibility, and extendibility. Finally, several future research directions toward the successful deployment of agent technology in traffic and transportation systems are discussed.


[1] F. Zambonelli and H. Van Dyke Parunak, “Signs of a revolution in computer science and software engineering,” in Proc. 3rd Int. Workshop Eng. Soc. Agents World, vol. 2577, Lecture Notes in Computer Science, P. Petta, R. Tolksdorf, and F. Zambonelli, Eds., 2003, pp. 13–28.
[2] M. Luck, “Guest editorial: Challenges for agent-based computing,” Auton. Agents Multi-Agent Syst., vol. 9, no. 3, pp. 199–201, Nov. 2004.
[3] E. H. Durfee, Coordination of Distributed Problem Solvers. Boston, MA: Kluwer, 1988.
[4] A. M. Garcia-Serrano, D. Teruel Vioque, F. Carbone, and V. D. Mendez, “FIPA-compliant MAS development for road traffic management with a knowledge-based approach: The TRACK-R agents,” in Proc. Challenges Open Agent Syst. Workshop, Melbourne, Australia, 2003.

Keywords— Agent, Cloud computing, Urban transportation.