Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving

In this paper, we outline the analysis of a fully provable traffic system based on the Kolmogorov entropy. The completeness of the traffic node dynamics is realized in the form of a nonlinear dynamical model of the participating transport objects. The goal of this study is to determine the completen...

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Main Authors: Gabor Kiss, Peter Bakucz
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/6/2261
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author Gabor Kiss
Peter Bakucz
author_facet Gabor Kiss
Peter Bakucz
author_sort Gabor Kiss
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description In this paper, we outline the analysis of a fully provable traffic system based on the Kolmogorov entropy. The completeness of the traffic node dynamics is realized in the form of a nonlinear dynamical model of the participating transport objects. The goal of this study is to determine the completeness of transport nodes based on the Kolmogorov entropy of the traffic trajectories of a node with an unspecified number of actors, like cars and pedestrians. The completeness of a highly autonomous driving detection system describing a traffic node could be realized if the entropy-based error-doubling time of the trajectories of the Euler–Lagrange equation interpreted at the transport junction is less than 1.3.
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spelling doaj.art-62127ed39c984f0981ef0c9e5871cdaf2024-03-27T13:19:09ZengMDPI AGApplied Sciences2076-34172024-03-01146226110.3390/app14062261Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous DrivingGabor Kiss0Peter Bakucz1Department of Computer Science, J. Selye University, 945 01 Komarno, SlovakiaInstitute of Safety Science and Cybersecurity, Obuda University, 1034 Budapest, HungaryIn this paper, we outline the analysis of a fully provable traffic system based on the Kolmogorov entropy. The completeness of the traffic node dynamics is realized in the form of a nonlinear dynamical model of the participating transport objects. The goal of this study is to determine the completeness of transport nodes based on the Kolmogorov entropy of the traffic trajectories of a node with an unspecified number of actors, like cars and pedestrians. The completeness of a highly autonomous driving detection system describing a traffic node could be realized if the entropy-based error-doubling time of the trajectories of the Euler–Lagrange equation interpreted at the transport junction is less than 1.3.https://www.mdpi.com/2076-3417/14/6/2261system completenesshighly autonomous drivingKolmogorov entropy
spellingShingle Gabor Kiss
Peter Bakucz
Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
Applied Sciences
system completeness
highly autonomous driving
Kolmogorov entropy
title Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
title_full Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
title_fullStr Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
title_full_unstemmed Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
title_short Using Kolmogorov Entropy to Verify the Description Completeness of Traffic Dynamics of Highly Autonomous Driving
title_sort using kolmogorov entropy to verify the description completeness of traffic dynamics of highly autonomous driving
topic system completeness
highly autonomous driving
Kolmogorov entropy
url https://www.mdpi.com/2076-3417/14/6/2261
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