SafeRoute-A Comprehensive Travel Solution

Travel safety is a critical concern for individuals navigating urban environments, especially in areas prone to crime or high-risk incidents. Traditional navigation systems primarily focus on the shortest or fastest routes, often neglecting security considerations. This research explores the integration of safety-based routing mechanisms to enhance secure travel experiences. By analyzing existing safe route guidance systems, crime data integration, and predictive modelling for high-risk areas, this study aims to develop an intelligent travel safety framework. The research examines multiple factors influencing safe navigation, including crime hotspots, real-time traffic conditions, environmental factors, and user-generated data. The findings suggest that a hybrid approach combining real-time data analyzis, historical crime trends, and AI-driven route optimization can significantly improve travel security. This study contributes to the development of a comprehensive Safe Route Navigation System, enhancing personal security and informed decision-making for travellers.

 Keywords— Safe route, crime data, Safe Route Navigation System, Safe Route Guidance System (SRGS), Crowd-sourcing, Intelligent Transportation Systems (ITS), Safe Path Algorithm using Feedback and Environment (SPaFE), MultiAttribute Decision Making (MADM)