Data-driven framework for pothole repair automation using unmanned ground vehicle fleets

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-04-03 DOI:10.1016/j.autcon.2025.106176

Shripal Mehta, Abiodun B. Yusuf, Sepehr Ghafari

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引用次数: 0

Abstract

Traditional pavement repair techniques are time-consuming, labour-intensive, prone to errors, and expose manpower to high-risk road traffic conditions. This paper proposes a data-driven solution for planning and automating the repair process for road potholes using a fleet of unmanned ground vehicles (UGVs). The project encompasses data mining, developing software tailored for fleet management, and enhanced fault tolerance. Additionally, it incorporates the integration of digital twins for advanced simulation purposes. The methodologies involve cross-industry standard processes for data mining (CRISP-DM) and preparation combined with rapid application development (RAD). To optimise repair schedules, the system takes parameters like fleet size, payload capacity, and material requirements based on pothole dimensions. This data-driven project concludes from simulations that a neighbourhood can be patched about 40 % faster and optimised to achieve a 12.5 % reduction in robot inter-travel time using three UGVs per defined residential area of 100,000 m² instead of two UGVs in the fleet.

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使用无人地面车队的凹坑修复自动化数据驱动框架

传统的路面维修技术耗时耗力，容易出错，并将人力置于高风险的道路交通状况中。本文提出了一种数据驱动的解决方案，利用无人地面车辆（ugv）车队来规划和自动化道路坑洼的修复过程。该项目包括数据挖掘、开发为车队管理量身定制的软件以及增强的容错能力。此外，它还集成了用于高级模拟目的的数字孪生。这些方法涉及跨行业的数据挖掘标准流程（CRISP-DM）以及与快速应用开发（RAD）相结合的准备工作。为了优化维修计划，系统根据凹坑尺寸获取车队规模、有效载荷能力和材料要求等参数。这个数据驱动的项目从模拟中得出结论，一个社区的修补速度可以提高40%左右，并且优化后，每个100,000平方米的居民区使用三辆ugv，而不是车队中的两辆ugv，机器人的往返时间可以减少12.5%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.