Proceeding of The 4 th International Multi-Conference on Engineering and Technological Innovation (IMETI 2011) 88 Genetic Traffic Intelligent System . Rustom Mamlook , Abdullah Aljumah Department of Computer Engineering College of Computer Engineering & Sciences Al-Kharj University - Saudi Arabia rstmamlk@hotmail.com Hassan Mohammed, Malik Amayreh Department of Information Systems & Computer Science Amman Al-Ahlya University, Jordan Issa Abdulhakim Department of Computer Science-Zarka Private University Abstract We considered the application of Genetic Traffic Intelligent System (GTIS), which can be uploaded on the internet and constructed in cooperation with Traffic Engineering Department in Amman city in Jordan. Our system enables the travelers and traffic engineering department to be better informed, and make better traffic intelligent decisions. Our system designed to make the movement of people and goods more efficient and economical. We designed the overall architecture of the system, and also showed the algorithm used to find the optimal path. The GTIS can be used as a guide for traffic navigation by the internet which will be a very useful tool in the next generation of cars and a part of the traffic control systems of the Traffic Engineering Department. Therefore our system could be a base for a very powerful Intelligent System which managing efficiently dynamic geographic and transportation data. Keywords: traffic, transport, Genetic Traffic Intelligent System, optimal path. Introduction Roads and traffic lie at the heart of modern civilization[1], the problem of controlling the road was and will still be a very important issue, and has been gaining interests to support more efficient control of transportation, since the road capacity is relatively scarce[2-8]. Any traffic system must handle the following issues:  Efficient control of roads and traffic [1].  Saving human lives and time [9].  Augmenting the overall safety of our roads [9].  Reducing journey times and journey- related trip planning.  Reducing some of the harmful transportation effects on the environment [10]. Our proposed system can be considered as a navigation devices and traffic information services that inform drivers about the most efficient routes to use in order to avoid traffic delays and wrong directions. GTIS involves the Geographic Information System (GIS)[4] and analytical/decision models to produce systems able to cope with the problems of controlling the roads. It aims to support decision making by applying quantitative approaches on the geographic information which is stored in a manipulability form within the GIS. GTIS manages the optimal path that is composed of links and nodes [11], it supports efficient and fast handling of large data for traffic status incident information query, optimal path finding, and many other important features. GTIS also handles the road data that are composed of links and nodes such as traffic volume, road light, road width, road length, traffic light, road name, road setting, road–blocks, accidents, snow and flooding, and many other factors[9] . Our system is designed for the city of Amman where its Traffic Engineering Department strived to build safe and effective transportation systems, and employ it in operating and controlling, and can be implemented to any other city with some modifications. System Methodology The major targets of GTIS are the construction of traffic information service center, integral traffic information guide, genetic optimal path finding, travel time guide, car navigation support, and all the mentioned goals such as reducing traveling time, minimizing the pollution of environment, guiding travelers through unknown cities and areas, increasing the safety on the roads. Our system performs the major input/output, presentation, search, and other functions related to the traffic and transport data. Our Overall System The overall architecture of the Genetic Traffic Intelligent System (GTIS) is shown in Figure 1,