Detection of traffic incidents using nonlinear time series analysis-Reference-Cited by-同舟云学术

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Detection of traffic incidents using nonlinear time series analysis

Published:2018-06 Issue:6 Volume:28 Page:063108
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Fragkou A. D.¹,Karakasidis T. E.¹^ORCID,Nathanail E.²

Affiliation:

1. Laboratory of Hydromechanics and Environmental Engineering, Department of Civil Engineering, University of Thessaly, 38334 Volos, Greece

2. Traffic, Transportation and Logistics Laboratory, Department of Civil Engineering, University of Thessaly, 38334 Volos, Greece

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5024924

Reference40 articles.

1. Analysis of Observed Chaotic Data

2. Finding Trends of Airborne Harmful Pollutants by Using Recurrence Quantification Analysis

3. Nonlinear dynamics and recurrence plots for detecting financial crisis

4. An integrated real-time traffic signal system for transit signal priority, incident detection and congestion management

5. Vehicular Ad-Hoc Networks sampling protocols for traffic monitoring and incident detection in Intelligent Transportation Systems

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2. Application of the visual boundary recurrence plots to magnetohydrodynamic turbulence channel flow;Physics of Fluids;2023-10-01

3. Graph Spatiotemporal Pattern Learning Network for Real-Time Road Network Traffic Abnormal Incident Detection;Transportation Research Record: Journal of the Transportation Research Board;2023-05-28

4. Recurrence network and recurrence plot: A novel data analytic approach to molecular dynamics in thermal lensing;Journal of Molecular Liquids;2022-11

5. Multiple Sensors Data Integration for Traffic Incident Detection Using the Quadrant Scan;Sensors;2022-04-11

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