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Review Paper on Agent Oriented Traffic Coordination
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 140 - Number 2 |
| Year of Publication: 2016 |
| Authors: Ankit Sharma, Shashank Sahu |
10.5120/ijca2016909232
|
Ankit Sharma, Shashank Sahu . Review Paper on Agent Oriented Traffic Coordination. International Journal of Computer Applications. 140, 2 ( April 2016), 32-34. DOI=10.5120/ijca2016909232
Abstract
Inclusion of Agents in the domain of managing traffic and its real time demand of coordination and cooperation is proven quite promising. Agent oriented traffic coordination helps in improving traffic management and in achieving efficiency of vehicle movement. Today with rapid urbanization and increasing number of vehicles traffic congestion has emerged out as a serious bottleneck. Automated vehicle decision models that are capable of taking self-decision finding a better path for the movement of traffic flow in control area are developed and more work is going on this field. These automated vehicles are able to communicate and coordinate with each other’s thereby maintaining proper coordination among neighboring vehicles. Every neighbor knows its current location and its group member’s. This paper presents several traffic coordination, communication and controlling strategies and methods for controlling them. Use of agents in traffic simulation, helps in reducing traffic congestion and delay. Lack of communication and controlling mechanism decreases traffic speed and average target destination time.
References
- F. Y. Wang, “Toward a revolution in transportation operations: AI for complex systems,” IEEE Intell. Syst.,vol. 23, no. 6, pp. 813,Nov./Dec.2008
- Multi-agent communication-based train control system for Indian railways: the behavioral analysis Anshul Verma1• K. K. Pattanaik1 February 2015.
- EURESCOM Analysis of existing agent-oriented tools,(2001).
- Khan MS, Benkrid K (2010) Development techniques of multiagents based autonomous railway vehicles control systems. Word AcadSciEng Technol.
- A. L. C. Bazzan, D. de Oliveira, and B. C. da Silva, “Learning in groups of traffic signals,” Eng. Appl. Artif. Intell., 2010.
- H. Prothmann, J. Branke, H. Schmeck, S. Tomforde, F. Rochner, J. H¨ahner, and C. M¨uller-Schloer, “Organic traffic light control for urban road networks,”International Journal of Autonomous and Adaptive Communications Systems, 2009.
- A. Lansdowne, “Traffic simulation using agent-based modelling,” Science, 2006.
- K. Almejalli, K. Dahal, and A. Hossain, "Intelligent Traffic Control Decision Support System," Lecture Notesin Computer Science, 2007.
- B. De Schutter, S. P. Hoogendoorn, H. Schuurman, and S. Stramigioli,"A Multi-Agent Case-Based Traffic Control Scenario Evaluation System," in IEEE IntelligentTransportation Systems.vol. 1, Schangai, 2003.
- F. Logi and S. G. Ritchie, "A Multi-Agent Architecture for Cooperative Inter-Jurisdictional Traffic Congestion Management,” Transportation Research Pa C: Emerging Technologies,2002.
- Asim Karim, “CBR Model for Highway Work Zone Traffic Management,” Journal of TransportationEngineering, 2003.
- HaitaoOu; Weidong Zhang; Wenjing Zhang; Xiaoming Xu, “Urban traffic multi-agent system based on RMM and Bayesian learning,” Proceedings of American Control Conference, June 2000.
- Mohammadian M., “Multi-Agents Systems for Intelligent Control of Traffic Signals, Computational Intelligence for Modeling,” Control and Automation, 2006 International Conference on Intelligent Agents, Web Technologies and Internet Commerce, Nov. 2006.
- Zhang Hui, Chen Yangdan, Yang Yuzhen, et al, “Urban Traffic Coordination Control System Based on Multi-Agent,” Computer and Communications, 2006.
- J.Cuena, J. Hern´andez, and M. Molina. Knowledge October 1995
- FIPA. The foundation for intelligent physical agents.2003.
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