Indian Journal of Science and Technology

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Multi Agent Electronic Cargo Terminal System


Affiliations
1 Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran, Islamic Republic of
2 Department of Computer, Firuzkooh Branch, Islamic Azad University, Firuzkooh, Iran, Islamic Republic of
 

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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  • Multi Agent Electronic Cargo Terminal System

Abstract Views: 306  |  PDF Views: 0

Authors

Saeed. K. Amirgholipour
Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran, Islamic Republic of
Aboosaleh. M. Sharifi
Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran, Islamic Republic of
Mehdi Alirezanejad
Department of Computer, Firuzkooh Branch, Islamic Azad University, Firuzkooh, Iran, Islamic Republic of
Ali Hasiri
Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran, Islamic Republic of
Farshid MohammadZadeh
Department of Computer, Ramsar Branch, Islamic Azad University, Ramsar, Iran, Islamic Republic of

Abstract


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



DOI: https://doi.org/10.17485/ijst%2F2014%2Fv7i4%2F50283