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Advanced Genetic Traffic Intelligent System

International Journal of Electrical and Electronic Science
Vol.2 , No. 3, Publication Date: Sep. 22, 2015, Page: 57-63

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Authors

[1]	Rustom Mamlook, Department of Electrical and Computer Engineering, College of Engineering, Dhofar University, Salalah, Sultanate of Oman.
[2]	Abdullah Aljumah, Department of Computer Engineering, College of Computer Engineering & Sciences, Salman bin Abdulaziz University, Al-Kharj, Saudi Arabia.
[3]	Hassan Mohammed, Department of Information Systems and Computer Science, Amman Al-Ahlya University, Amman, Jordan.
[4]	Malik Amayreh, Department of Information Systems and Computer Science, Amman Al-Ahlya University, Amman, Jordan.
[5]	Issa Abdulhakim, Department of Computer Science, Zarka Private University, Amman, Jordan.

Abstract

The application of Advanced Genetic Traffic Intelligent System (AGTIS)is considered, which can be uploaded on the internet and constructed in cooperation with Traffic Engineering Department in a city in a country. The presented system enables the travelers and traffic engineering department to be better informed, and make better traffic intelligent decisions. The system designed to make the movement of people and goods more efficient and economical. The overall architecture of the system, and the algorithm used to find the optimal path are designed. The AGTIS can be used as a guide for traffic navigation by the internet which is a very useful tool in the next generation of cars and a part of the traffic control systems of the Traffic Engineering Department. Therefore the presented system could be a base for a very powerful intelligent system which managing efficiently dynamic geographic and transportation data.

Keywords

Traffic, Transport, Advanced Genetic Traffic, Intelligent System, Optimal Path

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