FEATURES OF PREPARATION DATA TO CALCULATE MATRIX OF CORRESPONDENCES IN DUSHANBE

2015 ◽  
Vol 2 (2) ◽  
pp. 738-741
Author(s):  
Волков ◽  
S. Volkov ◽  
Колесникова ◽  
T. Kolesnikova ◽  
Пышный ◽  
...  
Keyword(s):  
Data Collection ◽  
Road Network ◽  
Transport Infrastructure ◽  
Individual Approach ◽  
The Road ◽  
Network Transport ◽  
The Matrix

The article describes an individual approach to data collection and processing to calculate the matrix of correspondence in Dushanbe, context of national circumstances and state of development of transport infrastructure. The problems of creating a graph of the road network, transport and zoning determine the density of the population

scholarly journals Comparing Different Equipment and Applications in Pavement Data Collection as Part of Road Management System

2019 ◽  
Vol 3 (3) ◽  
pp. 39
Author(s):  
Arjol Lule ◽  
Shkelqim Daja
Keyword(s):  
Data Collection ◽  
Asset Management ◽  
Management System ◽  
Road Network ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Management Systems ◽  
Road Infrastructure ◽  
The Road ◽  
Road Management

National roads are the main arteries in road transport infrastructure. Therefore, all agencies or authorities responsible of road infrastructure, pay attention to road management systems. Albania is experiencing an increase in road infrastructure investments and maintenance of this road network. There have been some attempts to establish national and secondary road management systems. These systems attempt to achieve different objectives, such as the provision of an adequate level of service, the preservation of the road infrastructure, etc. A good Road Asset Management System (RAMS), helps to carry out all the actions of inventory, storage and maintenance of road assets as well as, supports the decision-making process. At present, there are several data collection devices and applications that carry out the job efficiently. The purpose of this paper is to present the analysis of the use and comparison of some equipment and Cell Phone Based Systems (MiniROMDAS, PaveProf-V2 and RoadLab_Pro) used for the road pavement data collection, necessary in the calculation of the International Roughness Index (IRI), along the national road network in Albania. The comparison is made, by analyzing the data and results obtained along a 20 km long road segment in Albania, using the various above-mentioned technologies. Also, an overview of the currently available technologies providing information that could assist managers in establishing an appropriate data collection program is given.

scholarly journals MODERN DEVELOPMENT OF RUSSIA'S ROAD SECTOR: PROBLEMS AND PROSPECTS

2018 ◽  
Vol 6 (1) ◽  
pp. 11-11
Author(s):  
Наталья Борисова ◽  
Natal'ya Borisova ◽  
Елена Егорова ◽  
Elena Egorova ◽  
Александр Борисов ◽  
...  
Keyword(s):  
Economic Development ◽  
Economic Activity ◽  
Road Network ◽  
Road Construction ◽  
Transport Infrastructure ◽  
The Road ◽  
Modern Development ◽  
Socio Economic Development ◽  
The Russian Federation ◽  
Advanced Development

The article considers the most important component of the transport infrastructure - the road infrastructure, which at the same time is one of the most important spheres of economic activity. The socio-economic development of the Russian Federation has been studied, requiring advanced development and modernization of the road network as part of the transport infrastructure of the country and world space, as well as improving the technical level of road construction.

scholarly journals Connections between regional economic growth and motor transport infrastructure

2018 ◽  
Vol 19 (6) ◽  
pp. 936-940
Author(s):  
Piotr Pawlak
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Road Network ◽  
Short Description ◽  
Transport Infrastructure ◽  
Regional Economic Growth ◽  
General State ◽  
Road Infrastructure ◽  
Motor Transport ◽  
The Road

The article presents, in the short description, a link between the economic development of the region and the condition of its road infrastructure. The region selected for comparisons and analysis of this compounds is Eastern Poland. First, the characteristics of the selected region were discussed. Next, the general state of transport development of the country was described, in aspect of road infrastructure. The last part of the article discusses the issues of the region's economic growth in relation to its infrastructure situation, in connection with the condition and development of the road network. The presented material was concluded with a summary, which emphasized the existence of the tested compounds.

scholarly journals Transport infrastructure of centres in the Czech borderland

Geografie ◽  
2003 ◽  
Vol 108 (2) ◽  
pp. 130-145
Author(s):  
Miroslav Marada
Keyword(s):  
Population Density ◽  
Correlation Analysis ◽  
Road Network ◽  
Point Of View ◽  
Transport Infrastructure ◽  
Regional Differentiation ◽  
The Road ◽  
Border Regions ◽  
Economic Level

The article deals with the regional differentiation of Czechia at several levels: between inland and borderland, between the urbanized and the rural border regions and finally among nine individual border regions. The following characteristics are used for evaluation: mainly the aggregate and the relativized transport characteristics (quality and density of the railway and the road network; the rate of motorcars) and then the selected "causal" characteristics (population density, education index, economic level). Their interdependence is assessed with the help of correlation analysis. The inland - borderland differences are in the specific Czech conditions limited also from the viewpoint of the monitored transport characteristics - substantial differences are found within the Czech borderland, above all between the urbanized and the rural border regions. Another type of evaluation in this article is the research into the hierarchization of 170 centres from the point of view of their transport and complex significance. The transport hierarchy of centres is markedly more developed in the inland than in the borderland.

scholarly journals Economic Fundamentals for Selecting Directions for Modernization of Highway Network

2018 ◽  
Vol 17 (4) ◽  
pp. 331-337
Author(s):  
I. M. Tsarenkova
Keyword(s):  
Initial Data ◽  
Road Network ◽  
Methodological Approach ◽  
Transport Infrastructure ◽  
Entire Volume ◽  
Economic Relations ◽  
The Road ◽  
Highway Network ◽  
Design Solutions ◽  
Selection Of

The paper proposes a methodological approach to selection of rational directions for modernization of highway network while taking into account an increasing requirements of the national economy in a modern transport infrastructure being formed under conditions of the development of national transport and logistics system. The initial data required for variant development of design solutions contain information on existing transport and operational characteristics of the road network, intraand inter regional transport and economic relations, formed logistics supply chains, volume and structure of transportation and possible development stages for certain sections of highways. In this case initial data have a certain degree of uncertainty that requires to take design decisions with due consideration of the possibility to change information in a certain interval. The proposed options to use economic criteria make it possible to assess efficiency of logistics systems and their participants carry out operations pertaining to supply and handling of products and cargoes on specific sections of a road network and these measures are proceeding from common goals based not only on national or regional level, but also on the global level in the context of strategic planning. Study objectives play a significant role in selection of a calculation method, as well as its structure, a degree of its aggregation. Construction of an optimal scheme for modernization of a highway network presupposes to determine such totality of design solutions for construction, reconstruction and repair of motor roads with year-wise distribution for calculation period and certain network sections and such distribution of their freight flows when an amount of the reduced costs for transportation of the entire volume of products and modernization of motor roads would be minimal in accordance with transportation rates.

GIS-Analysis of Central Asian Transportation Systems’ Configuration

2019 ◽  
Vol 950 (8) ◽  
pp. 45-51
Author(s):  
P.M. Sapanov
Keyword(s):  
Spatial Data ◽  
Road Network ◽  
Road Transport ◽  
Transportation Systems ◽  
Transport Infrastructure ◽  
Gis Analysis ◽  
Road Transportation ◽  
The Road ◽  
Central Asian ◽  
High Degree

The author describes the performed GIS-analysis of the Central Asian transportation systems. The road transportation infrastructure of the whole region and its individual countries (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan) has been studied. The overview of the factors, influencing the formation of regional transportation systems, including historical, political and natural, has been done. The road network of Central Asian countries has been modeled using GIS network analysis toolset, with spatial data provided by OpenStreetMap. The so-called topological tiers of the network have been identified, showing the uneven provision of the studied area with road transport infrastructure. The proposed research method makes it possible to note a high degree of the road network integration between the countries. The areas with low transport accessibility, as well as autonomous parts of road network have been visualized. The research categorizes the countries’ transport networks configurations types formed under the influence of economic, social, agricultural, climatic and topographical factors.

A state-wise performance appraisal of the Indian roads using PROMETHEE-GIS approach

2018 ◽  
Vol 25 (9) ◽  
pp. 3338-3356 ◽  
Author(s):  
Shankar Chakraborty ◽  
Rajeev Ranjan ◽  
Poulomi Mondal
Keyword(s):  
Performance Appraisal ◽  
Road Network ◽  
Research Work ◽  
Road Transport ◽  
The State ◽  
Transport Infrastructure ◽  
Preference Ranking ◽  
Indian States ◽  
Content Type ◽  
The Road

Purpose A road network provides arterial arrangement to facilitate business, transport, social integration and economic progress of any nation. During the last seven decades after independence, road transport infrastructure in India has expanded manifold, both in terms of spread (total length and density of road) and capacity (number of on-road registered vehicles, and volume of passenger and freight traffic handled). But, with the enrichment of road transport network in India, the number of traffic accidents and total cost for maintaining the road infrastructure also keeps on increasing. It becomes necessary to evaluate state-wise performance of the Indian roads using some mathematical tools. The paper aims to discuss this issue. Design/methodology/approach In this paper, using preference ranking organization method for enrichment of evaluations (PROMETHEE) and geometrical analysis for interactive aid (GAIA) approaches, an attempt is made to appraise the state-wise performance of Indian roads based on 12 critically important criteria. A geographic information system method and a hue-saturation-value color coding scheme are also employed to identify the influence of individual criterion on the overall rank of 29 Indian states. Findings It is observed that amongst all the considered states, the road conditions in the states of Mizoram and Arunachal Pradesh are really satisfactory, whereas Bihar and Uttar Pradesh are the lagging states requiring governmental intervention and support to enhance their road network infrastructure. Practical implications This analysis would help the decision makers to identify the strengths and deficiencies of each Indian state with respect to its road conditions so that proper promotional and growth actions can be implemented. Originality/value From the review of the existing literature, it is quite evident that till date, no research work has been conducted in order to evaluate the performance of roads, and their conditions and characteristic features in the Indian context. In this paper, the state-wise performance of the Indian roads is appraised based on several identified parameters using a combined PROMETHEE-GAIA approach.

scholarly journals Transport accessibility and mobility: a forecast of changes in the face of planned development of the network of expressways and motorways in Poland

2019 ◽  
Vol 26 (2) ◽  
pp. 151-176 ◽  
Author(s):  
Michał Kowalski ◽  
Szymon Wiśniewski
Keyword(s):  
European Country ◽  
Road Network ◽  
Transport Network ◽  
Transport Infrastructure ◽  
Traffic Flows ◽  
Transport Accessibility ◽  
The Road ◽  
The Face ◽  
Infrastructure Investments ◽  
Made In

The article presents a forecast of changes in the level of transport accessibility and mobility in Poland as a result of the anticipated development of the network of expressways and motorways. The progress which has been made in this respect in the last few years in Poland is unquestionable and unrepeatable by any other European country. Will the subsequent investment plans concerning the road network of the highest parameters offer equally impressive results as far as the increase in Poland’s territorial cohesion is concerned? The aim of this article is to establish in what way the planned infrastructure investments will affect the changes in transport accessibility and mobility as well as whether they will result in the changes in traffic flows directed to Warsaw and other regional centres. To achieve this, an analysis of the present and target state of the road network in Poland was conducted from the perspective of changes in accessibility, anticipated traffic flows, and mobility. For this purpose the authors used the analyses of isochrone and accumulative accessibility in ArcMap environment and research into traffic flows and their changes in the Visum software. The conducted research showed that the planned transport network might result in induced traffic through a increase in accessibility (the central variant) with the assumption that an increase in mobility would be vented in the real face of the phenomenon of motility. The fact of opening new road sections of expressways will contribute to substantial changes in the directions of traffic flows only to a slight extent, and the only transformations concern regions with already developed fast car transport infrastructure whose functionality is limited due to the lack of its cohesion in the subsequent course or lack of a developed network of expressways and motorways.

scholarly journals Estimation of transport flow intensity using geoinformation systems

2021 ◽  
Vol 27 (1) ◽  
pp. 195-204
Author(s):  
Victoria Bitykova ◽  
Nikita Mozgunov
Keyword(s):  
Urban Areas ◽  
Road Network ◽  
Road Traffic ◽  
Local Level ◽  
Federal District ◽  
Transport Infrastructure ◽  
Traffic Load ◽  
Field Observations ◽  
Traffic Flows ◽  
The Road

The main discussion is about methods for assessing the intensity of traffic flows using geoinformation technologies. The intensity of traffic flows is one of the key indicators that determine the emission from transport in urban areas. In Russia, the growth in the volume and share of motor transport in pollution is increasing under the influence of an increase in the number of cars. This is most obvious examples of it are regions of the Central Federal District, but in the regional centers, under the influence of the improvement in the structure of the vehicle park, the growth of pollution is much slower, and in Moscow it has practically stabilized. At the local level, the determining factor of road traffic pollution is the change in the building density and the transport-planning structure. The collection and calculation of indicators that give an idea of the spatial differentiation of emissions from road transport is a very time-consuming stage of the study. The most common method of obtaining information on the transport and environmental situation in the city is directly field data collection. However, this method is quite time consuming for research. In conditions when the transport infrastructure is developing rapidly, the speed of field observations does not allow promptly updating information on changes in the traffic load of the road network and, as a result, assessing the current ecological situation in the territory. As an alternative to the traditional collection of information, modern sources of geoinformation data can be used. The services, originally developed to provide operational monitoring of the traffic situation and the construction of optimal routes, can also serve as a source of data for models for assessing the intensity of traffic load in environmental studies. The proposed technique has been tested at the level of districts and administrative districts of Moscow. The results obtained are compared with control field observations. The relatively low measurement error when using data from information systems is compensated by the possibility of more efficiently obtaining information about the traffic load on the sections of the road network.

scholarly journals INFERRING ROUTING PREFERENCES OF BICYCLISTS FROM SPARSE SETS OF TRAJECTORIES

2018 ◽  
Vol IV-4/W7 ◽  
pp. 107-114
Author(s):  
J. Oehrlein ◽  
A. Förster ◽  
D. Schunck ◽  
Y. Dehbi ◽  
R. Roscher ◽  
...  
Keyword(s):  
Machine Learning ◽  
Shortest Path ◽  
Road Network ◽  
Transport Infrastructure ◽  
New Approach ◽  
City Councils ◽  
The Road ◽  
Shortest Path Algorithms ◽  
The Given ◽  
Single Set

<p><strong>Abstract.</strong> Understanding the criteria that bicyclists apply when they choose their routes is crucial for planning new bicycle paths or recommending routes to bicyclists. This is becoming more and more important as city councils are becoming increasingly aware of limitations of the transport infrastructure and problems related to automobile traffic. Since different groups of cyclists have different preferences, however, searching for a single set of criteria is prone to failure. Therefore, in this paper, we present a new approach to classify trajectories recorded and shared by bicyclists into different groups and, for each group, to identify favored and unfavored road types. Based on these results we show how to assign weights to the edges of a graph representing the road network such that minimumweight paths in the graph, which can be computed with standard shortest-path algorithms, correspond to adequate routes. Our method combines known algorithms for machine learning and the analysis of trajectories in an innovative way and, thereby, constitutes a new comprehensive solution for the problem of deriving routing preferences from initially unclassified trajectories. An important property of our method is that it yields reasonable results even if the given set of trajectories is sparse in the sense that it does not cover all segments of the cycle network.</p>

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