Geographic Information Systems and Intelligent Transport Systems : technologies used to form new communication networks

Netcom ◽  
2003 ◽  
Vol 17 (1) ◽  
pp. 53-70
Author(s):  
Joana María Seguí Pons ◽  
Maurice Ruiz Pérez
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Communication Networks ◽  
Geographic Information ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

Analysis of selected ITS services used in urban public transport

2018 ◽  
Vol 121 ◽  
pp. 211-222
Author(s):  
Damian Lach ◽  
Elżbieta Macioszek
Keyword(s):  
Information Systems ◽  
Public Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Road Infrastructure ◽  
Intelligent Transport ◽  
Emergency Situations ◽  
Traffic Conditions ◽  
Urban Public Transport ◽  
Immediate Response

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.

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.

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