Assistive Mobile Application for Fire Emergency Evacuation of Visually Impaired People

The emergency evacuation of visually impaired individuals during fire incidents presents critical challenges that require innovative technological solutions. While existing evacuation systems provide static route guidance, they fail to adapt dynamically to evolving fire conditions, blocked passages, or dangerous zones in buildings with multiple routes and exits. This paper presents a comprehensive implementation of a mobile application built with Flutter/Dart that addresses these limitations by enabling real-time, dynamic route computation based on live sensor data. The presented system operates in a decentralized manner, performing all critical computations on-device to ensure its functionality even when some parts of the building infrastructure fail. A dynamic route calculation modified Dijkstra's algorithm was implemented on each user's phone for guidance. If initial path adjustments are needed, they are computed from sensor data to evaluate fire evolution and other relevant factors, including the user's current position and crowd congestion. An audio-visual interface was designed to provide navigation instructions and to help users follow safety routes efficiently. Field testing with visually impaired participants demonstrated significant improvements in evacuation efficiency, with shorter evacuation times than traditional static guidance approaches. The system architecture complies with international fire safety standards while maintaining user privacy through a no-tracking design philosophy. This work contributes to both theoretical advances in adaptive evacuation algorithms and practical insights for deploying assistive technologies in emergency scenarios.

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Publication Details

Journal
Sensors
Published
2026-03-02
DOI
https://doi.org/10.3390/s26051572
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Assistive Mobile Application for Fire Emergency Evacuation of Visually Impaired People

Adrian Mocanu, Camelia Avram, Dan Radu, Adina Aştilean et al.
Sensors
Evacuation and Crowd Dynamics
article

Assistive Mobile Application for Fire Emergency Evacuation of Visually Impaired People

Adrian Mocanu, Camelia Avram, Dan Radu, Adina Aştilean, Ioan Valentin Sita
article en

Abstract

The emergency evacuation of visually impaired individuals during fire incidents presents critical challenges that require innovative technological solutions. While existing evacuation systems provide static route guidance, they fail to adapt dynamically to evolving fire conditions, blocked passages, or dangerous zones in buildings with multiple routes and exits. This paper presents a comprehensive implementation of a mobile application built with Flutter/Dart that addresses these limitations by enabling real-time, dynamic route computation based on live sensor data. The presented system operates in a decentralized manner, performing all critical computations on-device to ensure its functionality even when some parts of the building infrastructure fail. A dynamic route calculation modified Dijkstra's algorithm was implemented on each user's phone for guidance. If initial path adjustments are needed, they are computed from sensor data to evaluate fire evolution and other relevant factors, including the user's current position and crowd congestion. An audio-visual interface was designed to provide navigation instructions and to help users follow safety routes efficiently. Field testing with visually impaired participants demonstrated significant improvements in evacuation efficiency, with shorter evacuation times than traditional static guidance approaches. The system architecture complies with international fire safety standards while maintaining user privacy through a no-tracking design philosophy. This work contributes to both theoretical advances in adaptive evacuation algorithms and practical insights for deploying assistive technologies in emergency scenarios.

SensorsVol. 26(5)
Technical University of Cluj-Napoca (RO)
Industry, innovation and infrastructure
Openalex Percentile: Top 40%
Evacuation and Crowd Dynamics
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Assistive Mobile Application for Fire Emergency Evacuation of Visually Impaired People — Adrian Mocanu, Camelia Avram, et al. · Sensors (2026) | TGRS Research Map | TGRS