Web-GIS Application using Multi-Attribute Utility Theory to Classify Accident-Prone Roads

Anik Vega Vitianingsih, Dwi Cahyono, Achmad Choiron


Traffic accidents are greatly influenced by several factors. Some of the factors are the condition of the roads, the density of the roads and the number of accidents occurring on the road. Web Geographical Information System (Web-GIS) can assist the society to identify the accident-prone points with Multi-Attribute Utility Theory (MAUT) Method. The Web-GIS was built using the architecture concept of client-server, where the application could act as the server. The Web-GIS system thematic using ArcGIS Desktop 10.2 software, linked to the database of Microsoft SQL Server Management Studio. It was then carried on to the Web-GIS technology and ArcGIS Viewer for Silverlight. The green thematic layer with the category classification of low-risk accident prone-roads was 24%. The yellow thematic layer with the category classification of accident prone-roads was 58% and the red thematic layer with the category classification of high-risk accident prone-roads was 18%.


WEB-GIS; MAUT; Thematic-Layer; TrafficAccident; Prone-Roads;

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