Real-Time Road Traffic Anomaly Detection

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Journal of Transportation Technologies

ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.org/journal/jtts
E-mail: jtts@scirp.org

Google-based Impact Factor: 2.29
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"Real-Time Road Traffic Anomaly Detection"
written by Jamal Raiyn, Tomer Toledo,
published by Journal of Transportation Technologies, Vol.4 No.3, 2014

has been cited by the following article(s):

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[1]	Modeling Causal Effects of Disasters and Disaster Relief Activity on Truckload Spot Rates
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[2]	ROAD ACCIDENT PREDICTION USING MACHINE LEARNING
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[3]	Проєкти організації дорожнього руху: питання понятійного апарату та нормативно-правового забезпечення в контексті національної безпеки та оборони …
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[4]	Prediction of road accidents in the different states of India using machine learning algorithms
	2023 IEEE International …, 2023

[5]	Towards Accurate Traffic Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features
	2023 IEEE 26th …, 2023

[6]	A novel framework for detecting non‐recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector
	Transactions in GIS, 2023

[7]	Forecast and anomaly detection on time series with dynamic context: Application to the mining of transit ridership data
	2021

[8]	Research on road traffic intelligence based on big data analysis
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[9]	Forecast and anomaly detection on time series with dynamic context. Application to the mining of transit ridership data.
	2021

[10]	Modeling Indian Road Traffic Using Concepts of Fluid Flow and Reynold's Number for Anomaly Detection
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[11]	Anomaly Detection in Sequence Data Based on MSM-H with EXPoSE
	2021 40th Chinese …, 2021

[12]	State-of-the-art Geoinformation Technologies Use in the Road Traffic Management.
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[13]	Classifying Traffic Congestion
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[14]	Traffic Management System
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[15]	Modern Approach to the Road Traffic Management in Cities of Ukraine: Case Study of Kyiv Municipal Company" Road Traffic Management Center"
	2020

[16]	Terrific Traffic
	2020

[17]	Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods
	2020

[18]	Road Anomaly Detection Through Deep Learning Approaches
	2020

[19]	Spatiotemporal anomaly detection: streaming architecture and algorithms
	2020

[20]	Anomaly Detection with Pattern of Life Extraction for GMTI Tracking
	2019

[21]	Method to organize and analyze speed data to detect unusual traffic activity
	2019

[22]	Pattern-of-life extraction and anomaly detection using GMTI data
	2019

[23]	Assessing the Integrity of Traffic Data through Short Term State Prediction
	2019

[24]	Anomaly Detection for Autonomous Transfer Vehicles in Smart Factories
	2018

[25]	Trafik Ağlarında Anomali Tespiti
	Eski?ehir Osmangazi üniversitesi Mühendislik ve Mimarl?k Fakültesi Dergisi, 2018

[26]	A financial crime analysis methodology for financial discussion boards using information extraction techniques
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[27]	Novel methods for resolving false positives during the detection of fraudulent activities on stock market financial discussion boards
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[28]	Using Intelligent Cooperative System for Travel Flow Management in Autonomous Vehicle Networks
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[29]	Detection and Classification of Anomalies in Road Traffic using Spark Streaming
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[30]	Detection of Anomaly in Train Speed for Intelligent Railway Systems
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[31]	An Evaluation of Cooperative Communication in Cognitive Radio as Applied to Autonomous Vehicles
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[32]	Anomaly Detection in Traffic Networks
	Eski?ehir Osmangazi üniversitesi Mühendislik Mimarl?k Fakültesi Dergisi, 2018

[33]	TRAFİK AĞLARINDA ANOMALİ TESPİTİ
	The Journal of Engineering and Architecture Faculty of Eskisehir Osmangazi University, 2018

[34]	Buffalo-Niagara Transportation Data-warehouse Prototype and Real-time Incident Detection
	2017

[35]	Developing Vehicle Locations Strategy on Urban Road
	Transport and Telecommunication, 2017

[36]	Bus Network Analysis and Monitoring
	2017

[37]	Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average
	2016

[38]	DATA EXPLORATION AND ANOMALY DETECTION ON ROAD NETWORK WITH UNSUPERVISED OUTLIER DETECTION ON LARGE-SCALE TAXIS GPS …
	2016

[39]	Real-time Speed Limit Traffic Sign Detection System for Robust Automotive Environments
	IEIE Transactions on Smart Processing & Computing, 2015

[1]	On Anomaly Detection for Autonomous Transfer Vehicles in Smart Factories Nicel Bilimler Dergisi, 2024 DOI:10.51541/nicel.1450906

[2]	A novel framework for detecting non‐recurrent road traffic anomalies by combining a temporal graph convolutional network and hierarchical time memory detector Transactions in GIS, 2023 DOI:10.1111/tgis.13022

[3]	Prediction of Road Accidents in the Different States of India using Machine Learning Algorithms 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), 2023 DOI:10.1109/ICICACS57338.2023.10099519

[4]	Prediction of Road Accidents in the Different States of India using Machine Learning Algorithms 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), 2023 DOI:10.1109/ICICACS57338.2023.10099519

[5]	Towards Accurate Traffic Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023 DOI:10.1109/ITSC57777.2023.10422052

[6]	A Prototype System for Urban Water Consumption Monitoring and Anomaly Detection 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022 DOI:10.1109/ICCP56966.2022.10053971

[7]	A Prototype System for Urban Water Consumption Monitoring and Anomaly Detection 2022 IEEE 18th International Conference on Intelligent Computer Communication and Processing (ICCP), 2022 DOI:10.1109/ICCP56966.2022.10053971

[8]	Anomaly Detection in Sequence Data Based on MSM-H with EXPoSE 2021 40th Chinese Control Conference (CCC), 2021 DOI:10.23919/CCC52363.2021.9549404

[9]	Machine Vision and Augmented Intelligence—Theory and Applications Lecture Notes in Electrical Engineering, 2021 DOI:10.1007/978-981-16-5078-9_43

[10]	Modern Approach to the Road Traffic Management in Cities of Ukraine: Case Study of Kyiv Municipal Company "Road Traffic Management Center" 2020 IEEE European Technology and Engineering Management Summit (E-TEMS), 2020 DOI:10.1109/E-TEMS46250.2020.9111757

[11]	Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods Cognitive Computation, 2020 DOI:10.1007/s12559-020-09735-3

[12]	Road Anomaly Detection Through Deep Learning Approaches IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3004590

[13]	Advances in Intelligent Networking and Collaborative Systems Lecture Notes on Data Engineering and Communications Technologies, 2019 DOI:10.1007/978-3-319-98557-2_11

[14]	Assessing the Integrity of Traffic Data through Short Term State Prediction 2019 IEEE Global Communications Conference (GLOBECOM), 2019 DOI:10.1109/GLOBECOM38437.2019.9013491

[15]	Method to Organize and Analyze Speed Data to Detect Unusual Traffic Activity IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2893109

[16]	Using Intelligent Cooperative System for Travel Flow Management in Autonomous Vehicle Networks 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim), 2018 DOI:10.1109/UKSim.2018.00019

[17]	Detection of Anomaly in Train Speed for Intelligent Railway Systems 2018 International Conference on Control, Automation and Diagnosis (ICCAD), 2018 DOI:10.1109/CADIAG.2018.8751374

[18]	Trafik Ağlarında Anomali Tespiti Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2018 DOI:10.31796/ogummf.440285

[19]	Trafik Ağlarında Anomali Tespiti Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, 2018 DOI:10.31796/ogummf.440285

[20]	Anomaly Detection for Autonomous Transfer Vehicles in Smart Factories 2018 6th International Conference on Control Engineering & Information Technology (CEIT), 2018 DOI:10.1109/CEIT.2018.8751935

[21]	Network anomaly detection for railway critical infrastructure based on autoregressive fractional integrated moving average EURASIP Journal on Wireless Communications and Networking, 2016 DOI:10.1186/s13638-016-0744-8

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