TRAMVAJUS AR METROPOLITENAS VILNIAUS URBANISTINĖJE STRUKTŪROJE. VYSTYMO PRIELAIDOS/TRAM OR METRO IN URBAN STRUCTURE OF VILNIUS: DEVELOPMENT PRECONDITIONS

2008 ◽  
Vol 32 (2) ◽  
pp. 59-70 ◽  
Author(s):  
Pranciškus Juškevičius ◽  
Vidualdas Valeika ◽  
Kristina Jauneikaitė
Keyword(s):  
Transportation System ◽  
Transportation Systems ◽  
Real Problem ◽  
Problem Solution ◽  
Urban Structure ◽  
Transportation Problems ◽  
Personal Transportation ◽  
Environment Regulation ◽  
Financial Environment ◽  
The Way

Until now and further in future the transportation problems of Vilnius will be caused by the mobility of inhabitants and their chosen communication means as well as the way of living in an urban structure or other type of environment. Regulation (management) of such a complex of factors is just a key to solving the problems. In today’s discussions no mention is made of the functional environment of tram or metro. Efforts to find proper development proportions for public and personal transportation systems are one of measures for a real problem solution. With this purpose in view actual social, political and financial environment as precondition for proper development of a transportation system, is indentified in the paper. Suggestions and arguments for implementing a tram system in Vilnius are given. Santrauka Vilniaus susisiekimo problemas kūrė ir toliau kurs gyventojų mobilumas ir pasirenkamos susisiekimo priemonės, gyvenimo būdas urbanistinės struktūros ir kitokio tipo aplinkoje. Tokios visumos reguliavimas (valdymas) ir yra problemų sprendimo raktas. Dabartinėse diskusijose apie tokią visumą kaip apie tramvajaus, metropoliteno funkcionavimo aplinką neužsimenama. Šio straipsnio tikslas – identifikuoti susiklosčiusią socialinę, politinę ir finansinę aplinką kaip prielaidų lygį kokybiškai susisiekimo sistemai vystyti.

TRAMVAJUS IR (ARBA) METROPOLITENAS VILNIAUS URBANISTINĖJE STRUKTŪROJE. PASIŪLYMAI IR ARGUMENTAI /TRAM/METRO IN URBAN STRUCTURE OF VILNIUS. PROPOSALS AND ARGUMENTS

2008 ◽  
Vol 32 (3) ◽  
pp. 183-192 ◽  
Author(s):  
Pranciškus Juškevičius ◽  
Vidualdas Valeika ◽  
Kristina Jauneikaitė
Keyword(s):  
Political Communication ◽  
Communication System ◽  
Transportation Systems ◽  
Real Problem ◽  
Problem Solution ◽  
Urban Structure ◽  
Street Network ◽  
Communication Problems ◽  
Personal Transportation ◽  
Environment Regulation

Until now and continuously in future communication problems in Vilnius will be caused by residents’ mobility and chosen communication means as well as the way of living in urban structure, street network and other type of environment. Regulation (management) of such an entirety would be a clue for solving the problems. In nowadays discussions there are no mentions about such an entirety or tram/metro functional environment. Efforts to find proper development proportions of public and personal transportation systems are one of measures for real problem solution. With this purpose social and political communication system environment, flow de facto and transportation potency, mobility management and importance of urban structure were approached in this work in general and specifically for Vilnius case. Suggestions and arguments for tram system implementation are given in the paper. Santrauka Vilniaus susisiekimo problemas sukūrė ir toliau kurs gyventojų mobilumas ir pasirenkamos susisiekimo priemonės, taip pat ir gyvenimo būdas urbanistinės struktūros, gatvių tinklo ir kitokio tipo aplinkoje. Tokios visumos reguliavimas (valdymas) ir yra problemų sprendimo raktas. Dabartinėse diskusijose apie tokią visumą arba apie tramvajaus, metropoliteno funkcionavimo aplinką neužsimenama. Problemos sprendimui priskirtinos pastangos rasti tinkamas viešojo ir asmeninio susisiekimo sistemų išvystymo proporcijas. Straipsnyje nagrinėjama socialinė ir politinė susisiekimo sistemos aplinka, susisiekimo kokybė, faktinis transporto priemonių srautas ir vežimų galia, mobilumo valdymas, urbanistinės struktūros svarba apskritai ir konkrečiai Vilniaus atveju. Pateikiami pasiūlymai ir argumentai tramvajaus diegimo klausimu.

Methodological aspects of transportation system adaptation in open pit mines

2020 ◽  
pp. 568-582
Author(s):  
Yu. A. Bakhturin
Keyword(s):  
Simulation Model ◽  
Transportation System ◽  
Transportation Systems ◽  
Open Pit ◽  
Problem Solution ◽  
Open Pit Mines ◽  
Joint Application ◽  
Engineering Sciences ◽  
System Adaptation ◽  
System Functioning

The role of adaptation as an interdisciplinary phenomenon and the necessity of its evolvement in engineering sciences, including mining, is stated. The notion of “open pit transportation system adaptation” is defined. The research was aimed to justify the choice of a methodology for adapting transportation systems in open pit mines, as well as to demonstrate possibility of the transportation system behavior determination and forecasting. In accordance with the definition, the state of a transportation system in the course of adaptation is described. It is shown that the theory of transportation systems for open pits and the theoretical principles are the mainframe. The theory features flexibility, is continuously developed and upgraded, meets the recent methodological standards and can serve the basis of structural and parametric adaptation. The case-studies of the efficient problem solution in mining using the universal simulation model of transportation system functioning in open pit mines developed at the Institute of Mining, Ural Branch RAS are presented. The scope of the applied research embraced: validation of parameters for loading-and-rehandling points in the dump truck- belt-rail transport flowcharts; determination of carrying capacity of rail tracks in open pits; justification of transportation system parameters for open pit mines based on the interactive modeling. The theoretical methodology framework for transportation system adaptation in open pit mines is presented, which is the joint application of the theory of transportation systems in deep open pit mines in structural and structural-and-parametric adaptation and the universal interactive simulation model of transportation system functioning in open pits in parametric adaptation.

Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data

2003 ◽  
Vol 1855 (1) ◽  
pp. 80-89 ◽  
Author(s):  
Kyu-Ok Kim ◽  
L. R. Rilett
Keyword(s):  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
System Modeling ◽  
Intelligent Transportation ◽  
Simplex Algorithm ◽  
Transportation System ◽  
Transportation Systems ◽  
Test Bed ◽  
Morning Peak ◽  
Microsimulation Models

In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and whether enough data exist with which to calibrate these models. There has been rapid deployment of intelligent transportation system (ITS) technologies in most urban areas of North America in the last 10 years. While ITSs are developed primarily for real-time traffic operations, the data are typically archived and available for traffic microsimulation calibration. A methodology, based on the sequential simplex algorithm, that uses ITS data to calibrate microsimulation models is presented. The test bed is a 23-km section of Interstate 10 in Houston, Texas. Two microsimulation models, CORSIM and TRANSIMS, were calibrated for two different demand matrices and three periods (morning peak, evening peak, and off-peak). It was found for the morning peak that the simplex algorithm had better results then either the default values or a simple, manual calibration. As the level of congestion decreased, the effectiveness of the simplex approach also decreased, as compared with standard techniques.

Transportation systems’ impacts on the Vilnius housing market

2019 ◽  
Vol 57 (2) ◽  
pp. 418-431 ◽  
Author(s):  
Virgilija Vasiliene-Vasiliauskiene ◽  
Aidas Vasilis Vasiliauskas ◽  
Rišard Golembovskij ◽  
Ieva Meidute-Kavaliauskiene ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Housing Market ◽  
Housing Markets ◽  
Transportation System ◽  
Transportation Systems ◽  
Sustainable Urban Development ◽  
Quantitative Methodology ◽  
Analytic Hierarchy ◽  
Content Type ◽  
System Factors ◽  
Hierarchy Process

Purpose The purpose of this paper is to develop a better understanding of how transportation system factors affect city housing markets. The goal was to show that identifying these factors alone is not enough without also examining their effects and variations according to the housing location. Design/methodology/approach Transportation system factors were identified by conducting a thorough literature review. The factors’ relevance was tested using a quantitative methodology and a sample of 317 Vilnius residents. This city was next divided into three zones, and data collected from 18 real estate experts was subjected to qualitative analysis. The analytic hierarchy process was then applied to identify transportation system factors’ level of impact and dynamics by the housing location. Findings The results show that the factors affect the housing market in question but that these effects vary by the housing location and the most critical factors differ for each city zone. Research limitations/implications Only data on Vilnius were used. Further research is needed to compare transportation factors’ dynamics in multiple cities. Practical implications Priorities in transportation system improvements should be assessed to facilitate sustainable urban development and enhance the residents’ quality of life. Housing market regulations can only be successful if investment in transportation systems is allocated purposefully and coherently. Originality/value This research went beyond identifying transportation system factors by employing a broad, systematic approach to clarifying potential options for regulating housing markets through transportation system projects.

Simulation in Marine Transportation System

1989 ◽  
Vol 26 (01) ◽  
pp. 74-85
Author(s):  
Khabirul Haque Chowdhury
Keyword(s):  
Real Life ◽  
Transportation System ◽  
Transportation Systems ◽  
Computer Simulation Model ◽  
Marine Transportation ◽  
Operating Variables ◽  
Productivity Data ◽  
Real Life Data ◽  
Port System ◽  
Total Model

This paper describes a computer simulation model as an essential technique to examine alternative marine transportation systems. A two-port system with a two-deck roll-on/roll-off (RO/RO) ship has been taken for the study to represent a short sea transportation system. All operating variables, including those which exhibit random variation in the RO/RO transportation system, have been incorporated. Productivity data for varying number of tugmasters and for alternative internal access options have been obtained partly from physical observation and partly from the output of a simplified mathematical model. A simple economic model has been incorporated to enable the total model to produce the relevant output for the alternatives. The model also produces as output various histograms for some of the operational indices of interest. In the absence of enough real-life data for comparison, some of the results have been verified through the opinion of experts. It was found that such simulation studies are useful and indeed practical tools for the analysis of complex marine transportation systems.

Communication Networks to Connect Moving Vehicles to Transportation Systems to Infrastructure

2015 ◽  
pp. 815-835
Author(s):  
Kira Kastell
Keyword(s):  
Wireless Communication ◽  
Communication Networks ◽  
Data Transfer ◽  
Critical Role ◽  
Transportation System ◽  
Transportation Systems ◽  
Wireless Access Networks ◽  
Mobility Data ◽  
Wireless Communication Network ◽  
Moving Vehicles

Communication in transportation systems not only involves the communication inside a vehicle, train, or airplane but it also includes the transfer of data to and from the transportation system or between devices belonging to that system. This will be done using different types of wireless communication. Therefore in this chapter, first, the fundamentals of mobile communication networks are shortly described. Thereafter, possible candidate networks are discussed. Their suitability for a certain transportation system can be evaluated taking into consideration the system's requirements. Among the most prominent are the influence of speed and mobility, data rate and bit error rate constraints, reliability of the system and on-going connections. As in most of the cases, there will be no single best wireless communication network to fulfil all requirements, and in this chapter also hybrid networks are discussed. These are networks consisting of different (wireless) access networks. The devices may use the best suited network for a given situation but also change to another network while continuing the on-going connection or data transfer. Here the design of the handover or relocation plays a critical role as well as localization.

Assessing the Existing Bursa Light Rail Transportation System

2020 ◽  
Vol 2674 (10) ◽  
pp. 250-260
Author(s):  
Mehmet Rizelioğlu ◽  
Turan Arslan
Keyword(s):  
Traffic Congestion ◽  
Transportation System ◽  
Transportation Systems ◽  
Bus Rapid Transit ◽  
Light Rail ◽  
Rail Transportation ◽  
Transit System ◽  
Transit Systems ◽  
Negative Impacts

As car ownership soars, traffic congestion and its associated negative impacts have become real concerns in many cities around the world. Therefore, transportation systems that perform better in eliminating or reducing traffic congestion and related problems to tolerable levels have become imperative. Alternative transit systems should be assessed properly to accommodate the expected demand in the long term, at least, to some significant extent. However, this is generally neglected in developing countries and, among many possible alternatives, a popular transportation system is usually preferred within the available budget. As an example, Bursa Metropolitan Municipality, Turkey, has recently implemented a light rail transportation system (LRT) on its major east–west corridor as the main transit system. In this study, the existing LRT is assessed and its performance is compared with a hypothetical bus rapid transit (BRT) system, which is a strong contender and comparatively a lower-cost alternative. This is done to assess whether the LRT was the better choice in relation to the current demand. Therefore, in this study, the existing LRT system is first defined in the PTV VISSIM simulation environment. Then, the hypothetical BRT system is considered on the same route with the current demand. The capability and capacities of the existing LRT and the BRT system are assessed and compared in many aspects. The results are compared, and important findings are outlined.

scholarly journals Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4252 ◽  
Author(s):  
Prince Waqas Khan ◽  
Yung-Cheol Byun
Keyword(s):  
Electric Vehicle ◽  
Short Term Memory ◽  
Personal Information ◽  
Inference Engine ◽  
Transportation System ◽  
Transportation Systems ◽  
Green Energy ◽  
Privacy And Security ◽  
Security Issues ◽  
Smart Contract

The provision of electric vehicles (EVs) is increasing due to the need for ecological green energy. The increment in EVs leads to an intelligent electric vehicle transportation system’s need instead of cloud-based systems to manage privacy and security issues. Collecting and delivering the data to current transportation systems means disclosing personal information about vehicles and drivers. We have proposed a secure and intelligent electric vehicle transportation system based on blockchain and machine learning. The proposed method utilizes the state of the art smart contract module of blockchain to build an inference engine. This system takes the sensors’ data from the vehicle control unit of EV, stores it in the blockchain, makes decisions using an inference engine, and executes those decisions using actuators and user interface. We have utilized a double-layer optimized long short term memory (LSTM) algorithm to predict EV’s stator temperature. We have also performed an informal analysis to demonstrate the proposed system’s robustness and reliability. This system will resolve the security issues for both information and energy interactions in EVs.

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