Flying Najm: Drone-based System for Accident Reporting

The implementation of a drone-based system for accident reporting marks a pioneering advancement in traffic management and safety. “Flying Najm” leverages drones equipped with high-resolution cameras to provide a real-time solution that addresses traffic congestion, accident response times, and public safety. This paper introduces a novel approach by automating the traditionally manual accident assessment process, offering faster and more efficient operations. The shift to a fully integrated, drone-enabled system represents a significant enhancement in urban mobility and traffic management strategies. The prediction is a 40% reduction in accident response times, leading to a $20 \%$ decrease in congestion in high-traffic areas. These improvements are expected to enhance road safety by $15 \%$ and yield potential economic savings of 2 billion Saudi Riyals annually through the reduction of traffic delays. What distinguishes “Flying Najm” is its integration of remote sensing, Internet of Things (IoT) technologies, and GPS, making it one of the first systems to use drones as a core component of traffic management. This innovation advances the field of smart cities and digital transformation, setting a new standard for efficiency and safety in urban environments. Keywords-IoT, GPS, Drone, Accident and Najm.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/dese63988.2024.10912026
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
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article

Flying Najm: Drone-based System for Accident Reporting

Reem Al-Muhanna, Haifa Al-Duaij, Maha Al-Hafy, Nouf I. Altmami
IoT and GPS-based Vehicle Safety Systems
article

Flying Najm: Drone-based System for Accident Reporting

Reem Al-Muhanna, Haifa Al-Duaij, Maha Al-Hafy, Nouf I. Altmami
article en

Abstract

The implementation of a drone-based system for accident reporting marks a pioneering advancement in traffic management and safety. “Flying Najm” leverages drones equipped with high-resolution cameras to provide a real-time solution that addresses traffic congestion, accident response times, and public safety. This paper introduces a novel approach by automating the traditionally manual accident assessment process, offering faster and more efficient operations. The shift to a fully integrated, drone-enabled system represents a significant enhancement in urban mobility and traffic management strategies. The prediction is a 40% reduction in accident response times, leading to a $20 \%$ decrease in congestion in high-traffic areas. These improvements are expected to enhance road safety by $15 \%$ and yield potential economic savings of 2 billion Saudi Riyals annually through the reduction of traffic delays. What distinguishes “Flying Najm” is its integration of remote sensing, Internet of Things (IoT) technologies, and GPS, making it one of the first systems to use drones as a core component of traffic management. This innovation advances the field of smart cities and digital transformation, setting a new standard for efficiency and safety in urban environments. Keywords-IoT, GPS, Drone, Accident and Najm.

Shaqra University (SA)
Openalex Percentile: Top 72%
IoT and GPS-based Vehicle Safety Systems
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Flying Najm: Drone-based System for Accident Reporting — Reem Al-Muhanna, Haifa Al-Duaij, et al. · (2024) | TGRS Research Map | TGRS