Empirical Study of a Spatial Analysis for Prone Road Traffic Accident Classification based on MCDM Method

Spatial analysis techniques are widely used as an effective approach for prone road traffic accident classification. This paper will present the results of empirical behavioral testing on spatial classification using Multicriteria Decision Making (MCDM) method. The performance MCDM is compared arterial and collector types processed with multicriteria parameters. was chosen because it can be a decision making based alternative selection many criteria. Empirical tests method include Weighted Sum Model (WSM), Product (WP), Simple Additive Weighting (SAW), (WPM), Multi-Attribute Utility Theory (MAUT), Technique Others Reference by Similarity to Ideal Solution (TOPSIS), Analytical Hierarchy Process (AHP). parameter weight values expert judgment Fuzzy-AHP (EJ-AHP), which comprises volume-to-capacity ratio (VCR), international roughness index (IRI), vehicle type, horizontal alignment, vertical design speed, shoulder. Then, models determine value accuracy, precision, recall, F1-score decision-making Evaluation Techniques (MCE). test roads show that SAW TOPSIS methods have same superior other methods, accuracy 63%. However, type AHP outperforms 70%.