Indian Journal of Science and Technology
DOI: 10.17485/ijst/2014/v7i4.5
Year: 2014, Volume: 7, Issue: 4, Pages: 430–438
Original Article
Saeed. K. Amirgholipour1*, Aboosaleh. M. Sharifi1 , Mehdi Alirezanejad2 , Ali Hasiri1 and Farshid MohammadZadeh1
1 Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran; s.kasmani@gmail.com; Aboosaleh.Sharifi@iauramsar.ac.ir, ali_hasiri@ymail.com, farshidmohammadzadeh66@yahoo.com
2 Department of Computer, Firuzkooh Branch, Islamic Azad University, Firuzkooh, Iran; m_arn2004@yahoo.com, ali_hasiri@ymail.com, farshidmohammadzadeh66@yahoo.com
In this paper, the usage of multi-agent systems for the management, control and optimize transportation system performance is shown. Artificial intelligence approaches in the development of intelligent agent-based systems is effective in solving complex problems in the transportation system. The successful transfer of research results to practical systems is crucial for intelligent agents and multi-agent systems. Our work reveals that the transportation system based on the intelligent agent can reduce costs, time and environmental pollution.
Keywords: AgentMom, AgentTool, Artificial intelligence, Multi Agent System, Transportation System
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