Context-Aware SOS for Roadside and Vehicular Emergencies

Road traffic accidents represent a significant public safety concern, with response time being a critical factor determining survival rates and injury severity. This paper presents a comprehensive context-aware SOS system specifically designed for roadside and vehicular emergencies. The Emergency Assistance Locator leverages modern web technologies including React.js, Leaflet.js mapping services, and Firebase real-time database to provide immediate emergency response capabilities. The system incorporates intelligent context awareness through real-time location tracking, automated incident detection, and multi-modal emergency notification systems. Key innovations include a streamlined 3-click emergency deployment interface, unified authority connectivity that simultaneously alerts police, medical, and fire services, and bystander-initiated reporting capabilities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-28
DOI
https://doi.org/10.5281/zenodo.17753838
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Context-Aware SOS for Roadside and Vehicular Emergencies

Zenodo (CERN European Organization for Nuclear Research)
IoT and GPS-based Vehicle Safety Systems
article

Context-Aware SOS for Roadside and Vehicular Emergencies

article en

Abstract

Road traffic accidents represent a significant public safety concern, with response time being a critical factor determining survival rates and injury severity. This paper presents a comprehensive context-aware SOS system specifically designed for roadside and vehicular emergencies. The Emergency Assistance Locator leverages modern web technologies including React.js, Leaflet.js mapping services, and Firebase real-time database to provide immediate emergency response capabilities. The system incorporates intelligent context awareness through real-time location tracking, automated incident detection, and multi-modal emergency notification systems. Key innovations include a streamlined 3-click emergency deployment interface, unified authority connectivity that simultaneously alerts police, medical, and fire services, and bystander-initiated reporting capabilities.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 49%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.