scholarly journals Management of transport processes with the use of intelligent transport systems: A case study of the company "Vertigo Montenegro" ltd. - Podgorica

Tehnika ◽  
2020 ◽  
Vol 75 (1) ◽  
pp. 81-86
Author(s):  
Marijana Prelević ◽  
Pavle Gladović ◽  
Veselin Salamadija
Keyword(s):  
Transport Processes ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

Social Cars

2014 ◽  
pp. 176-200
Author(s):  
Ronald Schroeter ◽  
Alessandro Soro ◽  
Andry Rakotonirainy
Keyword(s):  
Mobile Technologies ◽  
Transport Systems ◽  
Self Awareness ◽  
Intelligent Transport Systems ◽  
Intelligent Algorithms ◽  
Intelligent Transport ◽  
Locative Media ◽  
The Road ◽  
Over Time

Intelligent Transport Systems (ITS) encompass sensing technologies, wireless communication, and intelligent algorithms, and resemble the infrastructure for ubiquitous computing in the car. This chapter borrows from social media, locative media, mobile technologies, and urban informatics research to explore three classes of ITS applications in which human behavior plays a more pivotal role. Applications for enhancing self-awareness could positively influence driver behavior, both in real-time and over time. Additionally, tools capable of supporting our social awareness while driving could change our attitude towards others and make it easier and safer to share the road. Lastly, a better urban awareness in and outside the car improves our understanding of the road infrastructure as a whole. As a case study, the authors discuss emotion recognition (emotions such as aggressiveness and anger are a major contributing factor to car crashes) and a suitable basis and first step towards further exploring the three levels of awareness, self-, social-, and urban-awareness, in the context of driving on roads.

scholarly journals The Use of Smart Elements for the Transport Operation in the Slovak Cities

2019 ◽  
Vol 10 (2) ◽  
pp. 51-60 ◽  
Author(s):  
Oliver Bubelíny ◽  
Irina Ďaďová ◽  
Milan Kubina ◽  
Jakub Soviar
Keyword(s):  
Urban Areas ◽  
Arrival Time ◽  
Transport Processes ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
High Demand ◽  
Intelligent Transport ◽  
Time Points

Abstract The possibilities of expanding the transport infrastructure in cities are considerably limited, as urban areas of the municipalities are built-up. The current infrastructure is no longer sufficient to meet standard transport needs in cities, as there has been a growing trend in recent years for both manufactured and sold vehicles. The reason that vehicles are manufactured is the high demand for the purchase of these vehicles, which clearly reflects the subsequent trend of the traveling public using individual transport modes. In individual chapters, this article evaluates the simultaneous use of intelligent transport systems in the Slovak cities and, at the same time, points out further possibilities of SMART elements implementation in transport, which can ensure more efficient transport processes in agglomerations. Given the circumstances that transport infrastructure is no longer sufficient and the vehicles are stationary, which has adverse effects on arrival time as well as on the environment and the quality of life in the cities, the manuscript deals with this issue in particular.

Forklift safety, traffic engineering and intelligent transport systems: a case study

2004 ◽  
Vol 35 (6) ◽  
pp. 575-581 ◽  
Author(s):  
Tim Horberry ◽  
Tore J Larsson ◽  
Ian Johnston ◽  
John Lambert
Keyword(s):  
Traffic Engineering ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

Transport Oriented Framework for Context-Aware Services Management

2021 ◽  
Vol 110 ◽  
pp. 63-69
Author(s):  
Celestin Drăgănescu
Keyword(s):  
Software Architecture ◽  
Contextual Information ◽  
Transport Systems ◽  
Context Aware ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Architecture Model ◽  
Vehicle Communication ◽  
Adaptive Framework

The paper proposes a dynamic adaptive framework that responds to the needs of context-aware services provided by the intelligent transport systems. The executive core of this framework is a software architecture model that ensures the running of an application which is adaptable to context changes. The solution was tested on a case study that highlights provided contextual information through an inter-vehicle communication system.

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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