Saferoute: An Adaptive Road Travel Safety Monitoring System

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Authors: Mrs. Harini A, Mahadi Wasif. N, Abinesh. R. S, Muhammed Rabbanee. M. S, Vinothini. V
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Abstract

The proposed system, SafeRoute, presents an adaptive road travel safety monitoring framework designed to automatically detect suspicious travel behavior and verify user safety before triggering emergency alerts. Unlike traditional safety applications that rely solely on manual SOS activation, SafeRoute uses a rule-based, threshold-driven monitoring algorithm that continuously evaluates GPS location, movement speed, route deviation, battery status, and network conditions. The system dynamically adapts safety thresholds based on selected transport mode (walking, bike, or car) to reduce false alarms. A multi-stage verification mechanism ensures that alerts are escalated only after confirmation failure. The system also integrates secure PIN-based deactivation and passive post-arrival monitoring to enhance protection. The proposed framework aims to improve proactive road travel safety while maintaining reliability and minimizing false positives.

Fields of Study & Subjects

IoT and GPS-based Vehicle Safety Systems Human Mobility and Location-Based Analysis Context-Aware Activity Recognition Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 March 2026
Language
EN