Year: 2025
Type: article
Abstract: The practice of identifying deterioration on paved or unpaved surfaces for roads is known as road surface monitoring (RSM). Road surface abnormalities, such as potholes, cracks, and bumps, which have an impact on driving comfort and on-road safety, must be found in order to effectively monitor the state of the road surface. The Road Surface Monitoring system is a web-based application designed to assist transportation authorities, maintenance crews, and engineers in assessing the condition of roads. The system utilizes GPS track data in GPX format and associated videos to provide a visual representation of road surface conditions. By synchronizing the GPS data with video playback, users can monitor and analyze road conditions in real-time. The system's main features include the selection of GPX files representing road segments, visualization of road paths on an interactive map, and playback of associated videos. The system enables users to navigate and explore road segments, enlarge or reduce, and switch between different map views. As the video playback progresses, the system updates the displayed GPS track data, allowing users to monitor road conditions with current locations and identify specific surface issues like roughness, cracks, or potholes. With its user-friendly interface and real-time monitoring capabilities, the Road Surface Monitoring system offers several benefits. Users can access road conditions accurately, make informed decisions regarding maintenance and repairs, and prioritize resources effectively. The system also facilitates data-driven analysis and reporting, enabling authorities to optimize road maintenance strategies and enhance overall transportation infrastructure. Overall, the Road Surface Monitoring system provides a valuable Web-GIS tool for road surface assessment and monitoring, enhancing the efficiency and effectiveness of road maintenance efforts.
Source: Journal of Geomatics
Authors: Shashikant Patel, Ashwin Mohan, Baljit Kaur, Ajay Mathur, Brijendra Pateriya
Institutions: Punjab Remote Sensing Centre, Guru Nanak Dev University
Language: English
Subfield: Geography, Planning and Development
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410135147