scholarly journals The integration of intelligent transport systems in urban transport

2013 ◽  
Author(s):  
T. Richter ◽  
S. Ruhl
Keyword(s):  
Urban Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport

scholarly journals Concepts of Development of Alternative Travel in Autonomous Cars

2020 ◽  
Vol 12 (21) ◽  
pp. 8841
Author(s):  
Vytautas Palevičius ◽  
Rasa Ušpalytė-Vitkūnienė ◽  
Jonas Damidavičius ◽  
Tomas Karpavičius
Keyword(s):  
Transport System ◽  
Urban Transport ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Conceptual Tool ◽  
Intelligent Transport ◽  
Travel Planning ◽  
Autonomous Cars ◽  
Car Travel

Autonomous car travel planning is increasingly gaining attention from scientists and professionals, who are addressing the integration of autonomous cars into the general urban transportation system. Autonomous car travel planning depends on the transport system infrastructure, the dynamic data, and their quality. The efficient development of travel depends on the development level of the Intelligent Transport Systems (ITS) and the Cooperative Intelligent Transport Systems (C-ITS). Today, most cities around the world are competing with each other to become the smartest cities possible, using and integrating the most advanced ITS and C-ITS that are available. It is clear that ITS and C-ITS are occupying an increasing share of urban transport infrastructure, so the complex challenges of ITS and C-ITS development will inevitably need to be addressed, in the near future, by integrating them into the overall urban transport system. With this in mind, the authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS.

scholarly journals Methodological Approaches to Providing State Support for Development of Public Urban Passenger Transport

2021 ◽  
Vol 18 (4) ◽  
pp. 108-117
Author(s):  
E. O. Bryazgina ◽  
D. M. Kazmin
Keyword(s):  
Sharp Decrease ◽  
Urban Transport ◽  
Transport Systems ◽  
Rolling Stock ◽  
Passenger Transport ◽  
Intelligent Transport Systems ◽  
State Support ◽  
The Public ◽  
Intelligent Transport ◽  
Passenger Traffic

The article, based on the analysis of the existing methods for selection of constituent entities of the Russian Federation to be provided with federal support in modernization of the rolling stock of public urban passenger transport and introduction of intelligent transport systems within the framework of the national project «Safe and High-Quality Highways», highlights main approaches and principles used by the federal authorities as guidelines when making decision on the public state support of the activity planned by the regions in the field of urban transport development. The adequacy of these approaches is considered for cases when state support for public urban passenger transport should be provided on an emergency basis (in particular, under the conditions of a sharp decrease in passenger traffic and ticket revenue due to anti-epidemic measures), proposals are formulated to update these approaches.

scholarly journals Reliability And Safety As An Objective Of Intelligent Transport Systems In Urban Areas

2015 ◽  
Vol 34 (1) ◽  
pp. 59-70 ◽  
Author(s):  
Jacek Oskarbski ◽  
Kazimierz Jamroz
Keyword(s):  
Urban Areas ◽  
Urban Transport ◽  
Transport Systems ◽  
Negative Effects ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Transport Services ◽  
Transport Behaviour ◽  
Transport Telematics

Abstract Technologies that use transport telematics offer tools for strengthening urban transport systems. They rationalise the use of the existing infrastructure and transport management systems, increase their reliability and safety and improve the transport behaviour of residents, while reducing the operating costs of transport. The main reason for using Intelligent Transport Systems (ITS) is the need to implement measures to reduce the negative effects of growing motorization and improve the quality of transport services in response to the fluctuating transport demand. The authors present ways to improve the reliability and safety of transport in the street network by using ITS solutions.

scholarly journals Analysis of intelligent transport systems on the example of the city of Krakow

2018 ◽  
Vol 19 (5) ◽  
pp. 30-35
Author(s):  
Mariusz Niekurzak ◽  
Ewa Kubińska-Jabcoń ◽  
Agnieszka Bazior
Keyword(s):  
Muscle Power ◽  
Urban Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The Road ◽  
Management Board ◽  
Transport Services ◽  
The Right ◽  
The City

The object of research is urban transport in Krakow. The road users are drivers and passengers of combustion vehicles, rail vehicles, electric vehicles and those powered by muscle power, as well as pedestrians. Everyone has the right to use public roads, but under certain conditions. The city’s goal is to provide such infrastructure and enact laws that will enable them to co-exist. The Management Board of Municipal Infrastructure and Transport is tasked with providing such organization of traffic, including public transport, that the city will be passable and passengers’ requirements are met. The journeys should be smooth and without major disturbances. An innovative solution in the field of transport services in passenger traffic is the use of Intelligent Transport Systems (ITS).

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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