The main objective of this research project is to develop, implement and test an efficient real-time system for the allocation of patrol cars to various locations within the boundaries of the Abu Dhabi Emirate. Patrol cars are allocated initially to provide adequate coverage over a wide area that is divided into geographic zones. However, during daily operations the patrol cars move to deal with traffic accidents or calls for assistance originating from various locations in each zone. The proposed patrol allocation system is essentially an automated decision support system that relies on Geographic Information System (GIS) and other data related to current and real-time traffic flow to assist the dispatch operators in making effective patrol allocation decisions. The system also computes the number of patrol vehicles required in order to make sure that the response time falls below a given threshold or upper limit. The basic system concept and structure are presented.
E-business domains have been considered killer domains for different data analysis techniques. Most researchers have examined data mining (DM) techniques to analyze the databases behind E-business websites. DM has shown interesting results, but this technique presents some restrictions concerning the content of the database and the level of expertise of the users interpreting the results. In this paper, the authors show that successful and more sophisticated results can be obtained using other analysis techniques, such as Online Analytical Processing (OLAP) and Spatial OLAP (SOLAP). Thus, the authors propose a framework that fuses or integrates OLAP with SOLAP techniques in an E-business domain to perform easier and more user-friendly data analysis (non-spatial and spatial) and improve decision making. In addition, the authors apply the framework to an E-business website related to online job seekers in the United Arab Emirates (UAE). The results can be used effectively by decision makers to make crucial decisions in the job market of the UAE.
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