Decision Support System in GIS to Find Best Route

Abstract

Geographical information systems (GIS) become a popular tool in applications that include spatial objects and relations in the real world. The fast-technological expansions in the applications of web-based, simplifying the interaction between GIS and users. A fundamental problem remains available when dealing with a large amount of data in the GIS. Though the GIS strengths in the process of the spatial domain analysis, the systems of GIS are almost uninformed concerning the handling and analysis in the temporal domain. GIS systems find the path between two points or locations depending on time and speed. Therefore, in these days, considerable efforts are guided on this field towards the short time representation on GIS and safe this road. For accomplishing the particular goals of this paper and improve the usefulness of Google maps for the applications of GIS, this work builds a methodological structure to process vector and attribute data and visualise it. The conceptual model utilised here includes three main portions: firstly, the database tier; secondly, the application tier; and thirdly the client tier. This paper proposes a new spatial decision support system in GIS to find the best route between two locations based on different factors; it calculates the shortest and the fastest route depending on either length like other decision support systems or on other features like road safety or quality road by assigning a value to each road using intelligent algorithms (Dijkstra, Astar). The obtained results show decreasing in the time required to find the best result and adding more features as a cost to help the user to select the suitable road.