Paper Title
Z+ATLAS: Safest Routing Algorithm

Abstract
Ensuring the safety of pedestrians and other road users is crucial in urban contexts. There is a chance to improve travel safety by utilizing the growing amount of crime data that is available. In this study, a unique STM that uses crime records along potential paths to determine the safest route from a source to a destination is introduced. The methodology considers the severity and recentness of reported crimes when aggregating crime episodes to create a comprehensive crime score for each route. These scores are used to evaluate routes; lower values correspond to safer routes. The methodology entails gathering and analyzing crime data from official sources, classifying occurrences according to their kind and intensity, and finally mapping these episodes spatially along possible travel routes. Users are then guided during their travels by an ETU interface that displays the safest route, which is indicated by the lowest crime score. Keywords - STM, Routes, Aggregation