Abstract
Geographic Information Systems (GIS) are obtaining a significant role in handling strategic applications in which data are organized as records of multiple layers in a database. Furthermore, GIS provide multi-functions like data collection, analysis, and presentation. Geographic information systems have assured their competence in diverse fields of study via handling various problems for numerous applications. However, handling a large volume of data in the GIS remains an important issue. The biggest obstacle is designing a spatial decision-making framework focused on GIS that manages a broad range of specific data to achieve the right performance. It is very useful to support decision-makers by providing GIS-based decision support systems that significantly reduce the cost involved when moving between two locations. Therefore, in this paper, an advanced decision support system is built for identifying the best route between two locations according to various criteria such as distance, travel time, the safety of the road, and other features. The proposed model includes several stages; Google Maps downloading, preprocessing, integrating with the database, and identifying the best route by utilizing advanced algorithms of artificial intelligence. Furthermore, the Open Street Maps (OSM) database is utilized in this model and implemented using the Quantum Geographic Information Systems (QGIS) platform. One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. The outcomes of this proposed model display the best route which connects the source with the destination, and a table including the entire information for this route.
Highlights
The information systems represent organized combinations of people, software, hardware, data resources, communications networks, and procedures and policies that transform, disseminate, store, retrieve information in any organization
There is another type of information systems called multi-function support systems which can be either operation support systems or management support systems and even some have various functionalities
These considerations are not sufficient in real-life traffic. These related works have ignored the concept of finding the balance between speed and ease of implementation. In this proposed model, we intend to identify the shortest, realistic, and feasible route that takes turn restrictions constraint into consideration, and to assist the user to choose the top path from a variety of options depending on any feature the user selects such as length, travel time, the safety of the road, and other features
Summary
The information systems represent organized combinations of people, software, hardware, data resources, communications networks, and procedures and policies that transform, disseminate, store, retrieve information in any organization. A model for a decision support system that provides an algorithm of artificial intelligence has been proposed to allow users to determine the optimal route. The major intent of the spatial decision support system is to specify the best route based on features determined by a user, this means that the user is capable of selecting which features the system will use to compute the shortest path using an advanced algorithm of artificial intelligence
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