A Comprehensive Risk Management Approach to Information Security in Intelligent Transport Systems

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Tom Vogt ◽  
Edvin Spahovic ◽  
Thomas Doms ◽  
Rainer Seyer ◽  
Heinz Weiskirchner ◽  
...  
Keyword(s):  
Risk Management ◽  
Information Security ◽  
Transport Systems ◽  
Management Approach ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

scholarly journals Justification of an Integrated Approach to Ensuring Information Security of Unmanned Vehicles in Intelligent Transport Systems

2021 ◽  
Vol 12 (7) ◽  
pp. 1407
Author(s):  
Ivan Babkin ◽  
Olga Pisareva ◽  
Andrey Starikovskiy ◽  
Makhmudova Guljakhon ◽  
Yulia Anoshina
Keyword(s):  
Information Security ◽  
Integrated Approach ◽  
Unmanned Vehicles ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

Information Security Compliance over Intelligent Transport Systems: Is IT Possible?

2015 ◽  
Vol 13 (3) ◽  
pp. 9-15 ◽  
Author(s):  
Kleanthis Dellios ◽  
Dimitrios Papanikas ◽  
Despina Polemi
Keyword(s):  
Information Security ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Security Compliance

Multiple vehicles detection and tracking for intelligent transport systems using machine learning approaches

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.
Keyword(s):  
Machine Learning ◽  
Gaussian Mixture ◽  
Research Field ◽  
Transport Systems ◽  
Learning Approaches ◽  
Subtraction Method ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Detection And Tracking ◽  
Multiple Vehicles

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.

ASSESSMENT OF THE READINESS OF THE OREL CITY AGGLOMERATION TO IMPLEMENT INTELLIGENT TRANSPORT SYSTEMS

2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  
Keyword(s):  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport
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