Feasibility of a Drone-Based Road Network Inspection System

Data collection using drones is a widely used practice today. This capability can be used to develop a drone-based road surface inspection system aimed at increasing user (driver) safety and providing information to the owners and maintainers to assess the status of their infrastructure assets. This paper presents an overview of the Turkish–Hungarian U-SOAR project, aimed at the prototype level development of such system. While the system is technically feasible, two key aspects were identified that requires focused further evaluation and development: the business model definition and the management of conflicts in operation. The paper highlights the key findings in these two areas. First, the methodology used to assess the possible business approaches is demonstrated, showing that in the context of these two countries, service provision providing processed data has the highest potential. Second, the requirements towards conflict management as a key part of safe operations are presented. This paper shows the proposed automated conflict management solution and the initial development and testing of the system.

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Publication Details

Published
2024-11-11
DOI
https://doi.org/10.3390/engproc2024079076
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
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article

Feasibility of a Drone-Based Road Network Inspection System

Ármin Fendrik, Dániel Rohács, Dávid Sziroczák
Remote Sensing and LiDAR Applications
article

Feasibility of a Drone-Based Road Network Inspection System

Ármin Fendrik, Dániel Rohács, Dávid Sziroczák
article en

Abstract

Data collection using drones is a widely used practice today. This capability can be used to develop a drone-based road surface inspection system aimed at increasing user (driver) safety and providing information to the owners and maintainers to assess the status of their infrastructure assets. This paper presents an overview of the Turkish–Hungarian U-SOAR project, aimed at the prototype level development of such system. While the system is technically feasible, two key aspects were identified that requires focused further evaluation and development: the business model definition and the management of conflicts in operation. The paper highlights the key findings in these two areas. First, the methodology used to assess the possible business approaches is demonstrated, showing that in the context of these two countries, service provision providing processed data has the highest potential. Second, the requirements towards conflict management as a key part of safe operations are presented. This paper shows the proposed automated conflict management solution and the initial development and testing of the system.

Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 82%
Remote Sensing and LiDAR Applications
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