Pothole Detection and Analysis System (PoDAS) for Real Time Data Using Sensor Networks

TL;DR

PoDAS is a low-cost wireless sensor system designed for real-time pothole detection and analysis, aiming to improve geographic localization and repair efficiency in urban areas.

Contribution

The paper introduces a novel sensor-based system for pothole detection, offering multiple deployment models and validation methods to enhance accuracy and efficiency.

Findings

Effective detection in various environments

Higher efficiency through sensor cross-validation

Flexible deployment models for different city needs

Abstract

Potholes are a major nuisance on the city roads leading to several problems and losses in productivity. Local authorities have cited a lack of geographic localization of these potholes as one of the rate-limiting factors for repairs. This study proposes a novel low-cost wireless sensor-based end-to-end system called PoDAS (Pothole Detection and Analysis System) which can be deployed across major cities. We discuss multiple implementation models that can be varied based on the needs of individual cities. Our system uses cross-validation through multiple sensors to achieve higher efficiency than some of the previous models that have been proposed. We also present the results from extensive testing carried out in different environments to ascertain both the efficacy and the efficiency of the proposed system.