A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers

摘要

Crimes of various types are occurring in different areas of each country, almost every day. Hence, observing, predicting and preventing crimes is a crucial issue to ensure a peaceful and safe environment. Although several systems have been designed for analyzing crime related data, to our best knowledge, there is no system designed for travelers. This paper addresses this issue by proposing a decision support system named CPD-DSST (Crime Pattern Discovery Decision Support System for Travelers) that allows users to learn about crime occurrences in specific areas and provide suggestions to ensure travel safety. To discover and locate crimes, the system applies an efficient algorithm named Crime Classifying Discovery and Location (CCDL) based on multinomial logistic regression, and a Crime Rate Evaluation (CRE) algorithm, on spatio-temporal crime data. Experiments show that the proposed system can perform accurate predictions. Moreover, preliminary feedback indicates that the system is appreciated by users.