Overview Study of the Applications of Unmanned Aerial Vehicles in the Transportation Sector

This study examines the use of Unmanned Aerial Vehicles (UAVs) in transportation, focusing on traffic monitoring and accident prevention. UAVs provide a cost-effective means for traffic surveillance, route planning, and accident analysis, enhancing data accuracy and timeliness. The paper discusses autonomous and human-intervention-supported drone systems for traffic surveillance, addressing technological and operational challenges and the balance needed for practical implementation. It also presents recent advancements, including a forerunner drone model, and references research on UAVs for maritime navigation safety, underscoring the need for their safe and efficient integration into transportation systems.

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Publication Details

Published
2024-10-31
DOI
https://doi.org/10.3390/engproc2024079011
Citations
8
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.99
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article

Overview Study of the Applications of Unmanned Aerial Vehicles in the Transportation Sector

Áron Ballagi, Miklós Kuczmann, Barnabás Kiss
8 citations
Robotic Path Planning Algorithms
1.99
article

Overview Study of the Applications of Unmanned Aerial Vehicles in the Transportation Sector

Áron Ballagi, Miklós Kuczmann, Barnabás Kiss
article en
8 citations

Abstract

This study examines the use of Unmanned Aerial Vehicles (UAVs) in transportation, focusing on traffic monitoring and accident prevention. UAVs provide a cost-effective means for traffic surveillance, route planning, and accident analysis, enhancing data accuracy and timeliness. The paper discusses autonomous and human-intervention-supported drone systems for traffic surveillance, addressing technological and operational challenges and the balance needed for practical implementation. It also presents recent advancements, including a forerunner drone model, and references research on UAVs for maritime navigation safety, underscoring the need for their safe and efficient integration into transportation systems.

Széchenyi István University (HU)
Openalex Percentile: Top 12%
Robotic Path Planning Algorithms
1.99
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