Abstract
In this paper the development of a hybrid intelligent information system for the administration of massive Hajjis crow has been described. The main objective is to design an information system to manage the crowd during one of Hajj rituals, "Nafra" so as to avoid crowding disasters. The developed system incorporates data acquisition and processing via several thermal cameras deployed as sensors at strategic points on "Nafra" access roads. The sensors are linked to an analysis module, which in turn measures crowd flow and density in real time. The analysis results are fed into a fuzzy logic module to determine the priority of roads with respect to their widths and lengths. Then, the integrated decision support system generates decisions to the controllers in order for them to take the appropriate actions. Hybridization is done by integrating fuzzy logic, operations research and decision support to produce alternate decisions to the system controllers enable them to control the movement of the huge crowd. The paper illustrates different system components. It also describes the architecture of each component as well as the architecture of the entire system. A complete case study is illustrated with real snap shots of system screens in order to prove the system methodology. The results show solid decisions that help the authorities manage the huge pilgrim crowds. The system can contribute to provide complete safety for crowds during the "Nafra" event that attracts millions each year. [Mohamed Osama Khozium, A Hybrid Intelligent Information System for the Administration of Massive Mass of Hajjis] Life Science Journal 2012; 9(4): 171-180]. (ISSN: 1097-8135). http://www.lifesciencesite.com.