Supervision of road infrastructure by applying intelligent transport systems with special review on Bosnia and Herzegovina

Author(s):  
Abidin Deljanin ◽  
Ermin Muharemović ◽  
Mirza Berković ◽  
Klaudija Kuliš
2018 ◽  
Vol 121 ◽  
pp. 211-222
Author(s):  
Damian Lach ◽  
Elżbieta Macioszek

Intelligent Transport Systems (ITS) are a set of tools that enable better and more efficient use of existing road infrastructure. They support the operation of transport systems in selected areas. ITS services are not only related to the improvement of cars traffic conditions but also to the functioning of urban public transport in the area of their impact. Thanks to the available ITS functions, supervision over the functioning of urban public transport has become easier and allows to achieve the intended effects in the form of increasing the importance of urban public transport (UPT) in transport systems of cities and agglomerations. Establishing transport priorities for UPT vehicles, closing streets for cars, supervising the movement of UPT vehicles, dynamic passenger information systems or immediate response to emergency situations is one of many available ITS functions in public transport. The article presents an analysis of the functioning of selected ITS services supporting the functioning of urban public transport in selected areas of the Silesian Voivodeship.


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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