TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing [PDF]
Scientific ReportsAdvanced techniques for detecting and classifying road anomalies are crucial due to road networks’ rapid expansion and increasing complexity. This study introduces a novel integration of Tiny Machine Learning (TinyML), remote sensing, and fuzzy logic ...
Amna Khatoon +4 more
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Anomaly detection in urban lighting systems using autoencoder and transformer algorithms [PDF]
Scientific ReportsThe study aims to present the effectiveness of anomaly detection algorithms in lighting systems based on analyzing records from electricity meters. The road lighting management system operates continuously and in real-time, requiring online anomaly ...
Tomasz Śmiałkowski, Andrzej Czyżewski
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Dynamic Road Anomaly Detection: Harnessing Smartphone Accelerometer Data with Incremental Concept Drift Detection and Classification [PDF]
SensorsEffective monitoring of road conditions is crucial for ensuring safe and efficient transportation systems. By leveraging the power of crowd-sourced smartphone sensor data, road condition monitoring can be conducted in real-time, providing valuable ...
Imen Ferjani, Suleiman Ali Alsaif
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Sustainable cyber-physical VANETs with AI-driven anomaly detection and energy-efficient multi-criteria routing using machine learning algorithms [PDF]
Scientific ReportsCyber-physical systems have improved modern transportation by allowing vehicles and road systems to communicate through Vehicular Ad Hoc Networks (VANETs).
Wai Kit Wong +3 more
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Road-Side Unit Anomaly Detection
Vehicles, 2023 Actors of the Cooperative Intelligent Transport Systems (C-ITS) generate various amounts of data. Useful information on various issues such as anomalies, failures, road profiles, etc., could be revealed from the analysis of these data.
Mohamed-Lamine Benzagouta +3 more
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PROBABILISTIC-BASED CROWDSOURCING TECHNIQUE FOR ROAD SURFACE ANOMALY DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Road surface monitoring is a critical key factor to serve the purpose of road safety and driving comfort. Recently, many efforts have been made in developing approaches to detect road surface anomalies using smartphone sensors.
S. Sattar, S. Li, M. Chapman
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Spatiotemporal Road Traffic Anomaly Detection: A Tensor-Based Approach
Applied Sciences, 2021 The increased development of urban areas results in a larger number of vehicles on the road network, leading to traffic congestion, which often leads to potentially dangerous situations that can be described as anomalies. The tensor-based methods emerged
Leo Tišljarić +3 more
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A three-tier road condition classification system using a spiking neural network model
Journal of King Saud University: Computer and Information Sciences, 2022 Road surface anomaly detection and classification based on crowd-sourced smart phone sensor data has become an important area of research over the last decade due to its potential benefits to road maintenance.
Moses Apambila Agebure +2 more
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Traffic Trajectory Anomaly Detection Method Based on Reconstruction Error [PDF]
Jisuanji kexue, 2022 The rapid development of sensor technology has spawned a large amount of traffic trajectory data,and trajectory ano-maly detection has important application value in smart transportation,urban planning,road monitoring and other fields.Aiming at the ...
LI Chao-neng, FENG Guan-wen, LIU Ru-yi, MIAO Qi-guang
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QDetect: Time Series Querying Based Road Anomaly Detection
IEEE Access, 2020 Road anomaly detection has attracting increasing attention in recent years due to its significant role in the public transportation of modern cities. A few methods has been proposed to detect road anomaly with inertial sensors (e.g., accelerometer and ...
Zengwei Zheng +4 more
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