scholarly journals CZECH NATIONAL STRATEGY OF DEVELOPMENT OF INTELLIGENT TRANSPORT SYSTEMS AND LINKED ACTIVITIES

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Eva Gelová ◽  
Jan Mynařík ◽  
Jan Vlčinský ◽  
Martin Bambušek ◽  
Zuzana Švédová

The article presents topical news on intelligent transport systems policy, strategy, and linked activities in the Czech Republic. It introduces historical background, relation to other documents, and current development in 2021. The Strategy of Development of Intelligent Transport Systems 2021-2027 with a View to 2050 (in force since January 2021) is the core document. The strategy is introduced by its context, methodology and structure of the content. Focus on coming years is included in this article, too: essential support for the ITS policy brings the online ITS Library (https://www.its-knihovna.cz), a knowledge database, described here with its certain parts and space for supportive tools. The tools enable to manage information on implementation progress, selected progress indicators and monitoring of ITS data quality, expressed by data conformance testing and publishing. The conclusion chapter gives a general overview on implementation of the Strategy and the ITS Library in the future.

Transport ◽  
2007 ◽  
Vol 22 (2) ◽  
pp. 61-67 ◽  
Author(s):  
Aldona Jarašūnienė

Intelligent Transport Systems work with information and control technologies which provide the core of ITS functions. Some of these technologies, like loop detectors, are well known to transportation professionals. However, there are a number of less familiar technologies and system concepts that are the key to ITS functions. The technical core of ITS is information and control technologies, but human factors are also vitally important, and potentially very complex. This paper introduces the main ITS enabling technologies and explains why transport professionals should involve human factor experts at an early stage of design of ITS equipment and facilities.


2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.

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.


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

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