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Real-Time Road Traffic Anomaly Detection
Journal of Transportation Technologies, 2014 Many modeling approaches have been proposed to help forecast and detect incidents. Accident has received the most attention from researchers due to its impacts economically. The traffic congestion costs billions of dollars to economy. The main reasons of major percentage of traffic congestion are the incidents.
Jamal Raiyn, Tomer Toledo
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Privacy-Friendly Mobility Analytics using Aggregate Location Data [PDF]
, 2016 Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can ...
De Cristofaro, Emiliano +2 more
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Applied Sciences, 2022 Road surfaces suffer from sources of deterioration, such as weather conditions, constant usage, loads, and the age of the infrastructure. These sources of decay generate anomalies that could cause harm to vehicle users and pedestrians and also develop a ...
Erick Axel Martinez-Ríos +2 more
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A Three-Stage Anomaly Detection Framework for Traffic Videos
Journal of Advanced Transportation, 2022 As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to reduce ...
Junzhou Chen +3 more
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A multi-method approach to delineate and validate migratory corridors [PDF]
, 2017 Context: Managers are faced with numerous methods for delineating wildlife movement corridors, and often must make decisions with limited data. Delineated corridors should be robust to different data and models.
Bond, Monica L. +4 more
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Enabling real-time road anomaly detection via mobile edge computing
International Journal of Distributed Sensor Networks, 2019 To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods
Zengwei Zheng +4 more
doaj +1 more source
Streaming-Based Anomaly Detection in ITS Messages
Applied Sciences, 2023 Intelligent transportation systems (ITS) enhance safety, comfort, transport efficiency, and environmental conservation by allowing vehicles to communicate wirelessly with other vehicles and road infrastructure.
Juliet Chebet Moso +4 more
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Detection of Road Traffic Anomalies Based on Computational Data Science [PDF]
Discover Internet of Things, 2022 Abstract The development of 5G has enabled the autonomous vehicles (AVs) to have full control over all functions. The AV acts autonomously and collects travel data based on various smart devices and sensors, with the goal of enabling it to operate under its own power.
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A Drift-Aware Online Learner for Anomaly Detection from Streaming Data [PDF]
هوش محاسباتی در مهندسی برق, 2022 Streaming data has been evolved in a dynamically changing and evolving environment. Therefore, concept drift or changing the underlying distribution of data over time is considered as an important challenge in processing this type of data.
Maryam Amoozegar +3 more
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A dubiety-determining based model for database cumulated anomaly intrusion [PDF]
, 2007 The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify data records under certain constraints deliberately hides his/her intentions ...
Lu, G, Lü, K, Yi, J
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