scholarly journals AN AUTOMATED GRASS-BASED PROCEDURE TO ASSESS THE GEOMETRICAL ACCURACY OF THE OPENSTREETMAP PARIS ROAD NETWORK

2016 ◽  
Vol XLI-B7 ◽  
pp. 919-925 ◽  
Author(s):  
M. A. Brovelli ◽  
M. Minghini ◽  
M. E. Molinari
Keyword(s):  
Open Source ◽  
Road Network ◽  
Spatial Accuracy ◽  
Grass Gis ◽  
The Road ◽  
The World ◽  
Tightly Coupled ◽  
Network Quality ◽  
Gis Software

OpenStreetMap (OSM) is the largest spatial database of the world. One of the most frequently occurring geospatial elements within this database is the road network, whose quality is crucial for applications such as routing and navigation. Several methods have been proposed for the assessment of OSM road network quality, however they are often tightly coupled to the characteristics of the authoritative dataset involved in the comparison. This makes it hard to replicate and extend these methods. This study relies on an automated procedure which was recently developed for comparing OSM with any road network dataset. It is based on three Python modules for the open source GRASS GIS software and provides measures of OSM road network spatial accuracy and completeness. Provided that the user is familiar with the authoritative dataset used, he can adjust the values of the parameters involved thanks to the flexibility of the procedure. The method is applied to assess the quality of the Paris OSM road network dataset through a comparison against the French official dataset provided by the French National Institute of Geographic and Forest Information (IGN). The results show that the Paris OSM road network has both a high completeness and spatial accuracy. It has a greater length than the IGN road network, and is found to be suitable for applications requiring spatial accuracies up to 5-6 m. Also, the results confirm the flexibility of the procedure for supporting users in carrying out their own comparisons between OSM and reference road datasets.

scholarly journals AN AUTOMATED GRASS-BASED PROCEDURE TO ASSESS THE GEOMETRICAL ACCURACY OF THE OPENSTREETMAP PARIS ROAD NETWORK

2016 ◽  
Vol XLI-B7 ◽  
pp. 919-925
Author(s):  
M. A. Brovelli ◽  
M. Minghini ◽  
M. E. Molinari
Keyword(s):  
Open Source ◽  
Road Network ◽  
Spatial Accuracy ◽  
Grass Gis ◽  
The Road ◽  
The World ◽  
Tightly Coupled ◽  
Network Quality ◽  
Gis Software

OpenStreetMap (OSM) is the largest spatial database of the world. One of the most frequently occurring geospatial elements within this database is the road network, whose quality is crucial for applications such as routing and navigation. Several methods have been proposed for the assessment of OSM road network quality, however they are often tightly coupled to the characteristics of the authoritative dataset involved in the comparison. This makes it hard to replicate and extend these methods. This study relies on an automated procedure which was recently developed for comparing OSM with any road network dataset. It is based on three Python modules for the open source GRASS GIS software and provides measures of OSM road network spatial accuracy and completeness. Provided that the user is familiar with the authoritative dataset used, he can adjust the values of the parameters involved thanks to the flexibility of the procedure. The method is applied to assess the quality of the Paris OSM road network dataset through a comparison against the French official dataset provided by the French National Institute of Geographic and Forest Information (IGN). The results show that the Paris OSM road network has both a high completeness and spatial accuracy. It has a greater length than the IGN road network, and is found to be suitable for applications requiring spatial accuracies up to 5-6 m. Also, the results confirm the flexibility of the procedure for supporting users in carrying out their own comparisons between OSM and reference road datasets.

scholarly journals ASSESSING OPENSTREETMAP URBAN NETWORK OF ORAN CITY

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 249-252
Author(s):  
B. Meguenni ◽  
M. A. Hafid
Keyword(s):  
Road Network ◽  
Third Party ◽  
Spatial Accuracy ◽  
Data Set ◽  
Urban Network ◽  
Urban Networks ◽  
Spatial Quality ◽  
Gis Environment ◽  
The City

<p><strong>Abstract.</strong> OpenStreetMap (OSM) uses the Open Database License, it is a collaborative project that collects a rich set of vector data provided by volunteers. It is a global collection of mapping data that can be used for a wide variety of purposes. Many third-party online maps are based on OpenStreetMap data. Currently, more and more large organizations are choosing OSM for their maps.</p> <p>In addition, the analysis of the spatial quality of the OSM data shows that particular care must be taken. However, there are several methods for assessing the quality of the OSM data by comparing the OSM to an authoritative dataset. In this context, it is essential to develop an automatic procedure to improve its spatial quality.</p> <p>This work proposes a quantitative method for comparing the quality of the OSM and an authoritative data set on urban networks in the city of Oran (Algeria). The procedure is based on python modules in a GIS environment and provides measurements of the spatial accuracy and completeness of the OSM road network. The method is applied to assess the quality of the Oran OSM road network data set through a comparison with the official Algerian dataset. The results show that the OSM's Algerian road network is very complete, but with low spatial accuracy.</p>

Pedestrian network information extraction based on VGI

GEOMATICA ◽  
2018 ◽  
Vol 72 (3) ◽  
pp. 85-99 ◽  
Author(s):  
Xuejing Xie ◽  
Guojian Ou
Keyword(s):  
Information Extraction ◽  
Road Network ◽  
New Method ◽  
Location Based Service ◽  
Network Information ◽  
The Road ◽  
Pedestrian Network ◽  
Gps Trajectories ◽  
Data Extracting

Pedestrian network information plays an important role in pedestrian location based service (LBS), and its completeness determines the quality of a pedestrian LBS. This study used volunteered data and BaiduMap to research how to extract pedestrian network information on the basis of pedestrian GPS trajectories. The method extracts human road information by three steps: cleaning track data, extracting the road network, and detecting and analysing the recognised pedestrian road facilities. Once the road network information is extracted, the information regarding road facilities can be obtained, e.g., pedestrian crossings, overpasses, and underground passages. This paper describes a new method for incrementally updating electronic maps.

Effects of Sensor Errors on the Performance of Map Matching

2005 ◽  
Vol 58 (2) ◽  
pp. 273-282 ◽  
Author(s):  
Wu Chen ◽  
Zhilin Li ◽  
Meng Yu ◽  
Yongqi Chen
Keyword(s):  
Hong Kong ◽  
Efficient Method ◽  
Urban Areas ◽  
Road Network ◽  
Dead Reckoning ◽  
Navigation Systems ◽  
Map Matching ◽  
The Road ◽  
Sensor Errors

Map matching has been widely applied in car navigation systems as an efficient method to display the location of vehicles on maps. Various map-matching algorithms have been proposed. Inevitably, the correctness of the map matching is closely related to the accuracy of positioning sensors, such as GPS or Dead Reckoning (DR), and the complexity of the road network and map, especially in urban areas where the GPS signal may be constantly blocked by buildings and the road network is complicated. The existing map matching algorithms cannot resolve the positioning problems under all circumstances. They sometimes give the wrong position estimates of the car on road; the result is called mismatching. In order to improve the quality of map matching, a deep understand of the accuracy of sensor errors on mismatching is important. This paper analyses various factors that may affect the quality of map matching based on extensive tests in Hong Kong. Suggestions to improve the success rate of map matching are also provided.

scholarly journals Smart Bike System

2020 ◽  
pp. 312-317
Author(s):  
Suvarna Gaikwad ◽  
Parth Dode ◽  
Shubham Chhipa ◽  
Shubhangi Vaikole
Keyword(s):  
Operating System ◽  
Open Source ◽  
Operating Systems ◽  
Computer Technology ◽  
Current System ◽  
Raspberry Pi ◽  
The World ◽  
And Control ◽  
Made In

<p>Vehicles being the most widely used machines need to get smarter compared to their current technology. The necessity described by the younger generation of users, the millennials, for their devices to be smart and their vision to have more computerized and smarter applications of various sensors. The invention and development of better-computerized systems for infotainment and control of vehicles have taken speed and research is done mainly in an open-source on Linux kernel-based operating systems. The Smart Bike System is a Raspberry pi based operating system(AGL) for bikes tracks the various components of the bike like Speed, Quantity of fuel, Distance covered in a single trip, Temperature, Date and Time. We make a note that the current system of dashboards for representing the various aspects of a bike is old. A significant improvement would be made in the quality of the bike and the way people use it if the current computer technology of the world embraces the vehicular system. Automotive Grade Linux(AGL) is an (open source tech) operating system for automobiles which when installed on a computer in synchronization with the parts of a motor-bike has an ability to display more information in a more colorful and animated format like a computer desktop but specifically for automobiles.</p>

scholarly journals Performance Analysis With Wireless Lan Networks Using The Quality Of Service Method

2020 ◽  
Vol 4 (01) ◽  
pp. 45-48
Author(s):  
Anggy Wahyudi ◽  
Aulia Fitrul Hadi ◽  
Rini Sovia
Keyword(s):  
Quality Of Service ◽  
Wireless Lan ◽  
High Mobility ◽  
The World ◽  
Network Quality ◽  
Changing Times ◽  
Use Of The Internet ◽  
Use Of Internet ◽  
Very High

The use of the internet currently has very high mobility, both used for streaming, browsing, downloading and uploading data. Along with the changing times and the demands for information services that are fast, precise, and accurate, making the network a major need, especially in the world of education. The use of internet facilities requires management to manage each data. For this reason, there is a need for Quality of Service on the network to optimize the distribution of networks evenly and fairly for each client and network user. The results of the study show that network quality by implementing Quality of Service is more optimal and network distribution is more even and stable

scholarly journals Calculation of Internal Debt on Road Network in the Vysočina Region

2015 ◽  
Vol 63 (4) ◽  
pp. 1235-1249
Author(s):  
Martin Černý
Keyword(s):  
Social Development ◽  
Road Network ◽  
Methodological Approach ◽  
Public Financing ◽  
External Resources ◽  
The Road ◽  
Definition Of ◽  
State Infrastructure ◽  
Internal Debt

The aim of this paper is to present the issue of financing the extent and quality of the road network, which is a necessary prerequisite for economic and social development of the Vysočina Region. The paper gives a methodological approach to the calculation of internal debt of the road network in the Vysočina Region, made its own calculation in the alternatives, whereas those alternatives reflect financing by the region through its own resources, as well as an alternative, which includes financing and the involvement of external resources (loans, fund state infrastructure and European sources). The calculation determines the size of internal debt, and therefore the extent of the problem. The definition of internal debt we can express as an annual expenditures which has to follow to the road infrastructure to ensure the sustainable quality of road network. The paper describes a potential process ensuring the increase of efficiency of public financing for the road network. In the contribution there is designed a potencial solution which deal with dividing regional roads into main three categories and in one of the category to introduce the system of road management.

scholarly journals GIS and geographical analysis of the main harbors in the world

2021 ◽  
Vol 13 (1) ◽  
pp. 639-650
Author(s):  
Aleksandar Valjarević ◽  
Dragan Radovanović ◽  
Svetislav Šoškić ◽  
Nikola Bačević ◽  
Nikola Milentijević ◽  
...  
Keyword(s):  
Road Network ◽  
East Coast ◽  
Road Traffic ◽  
Global Scale ◽  
Cluster Method ◽  
Main Road ◽  
The Road ◽  
Marine Traffic ◽  
The World ◽  
Geographical Position

Abstract This paper points out the possibilities of better exploitation of marine traffic as well as its connection with other kinds of traffic. Special attention is given to the analysis of 1,081 harbors about their availability during the year. The methods and algorithms used in GIS are buffers, cluster, method of interpolations, and network analysis. The methods used for the purpose of conducting numerical analyses are algorithms that served for the analysis of the network, its transport features, and the connectivity with harbors in terms of geospace. The main results found in this research showed that harbors have good connectivity in the first place with road traffic and after that with air and railroad traffic. According to data from 2019, all traffic lines cover 4.1 × 1015 km, and the road traffic has the most significant potential in connection with the harbors. The most connected harbors and airports are in the east coast of North America, west coast, north Europe, southern Europe, south-east Australia, a central part of Oceania, and south-east Africa. The results in the modified Likert scale between airports and harbors showed medium results. The densest road network is located in the eastern part of USA, western and central part of Europe, and east coast of China. The number of possible connected lines between main road nodes and harbors is 0.8 × 109. This type of traffic showed excellent results and connection with harbors. The number of possible connected lines per month between railroads and harbors is 1.3 × 103. This type of traffic showed low connectivity with the harbors. In the end comparison of harbors with air, road and railroad networks were established. The geographical position of harbors was analyzed, and better understanding was performed on a global scale.

scholarly journals The Choice for the West: Bifurcation Between Innovation Breakthrough and Information Dictatorship

2021 ◽  
Vol 11 (2) ◽  
pp. 16-22
Author(s):  
A. N. Zubets
Keyword(s):  
Social Motivation ◽  
Western World ◽  
The West ◽  
Severe Problem ◽  
The Road ◽  
The World ◽  
The Cost ◽  
New System ◽  
Stimulation Of

The author showed that the modern Western world is facing an extremely important fork in the road, meaning the choice of a further path and ideology of development and a new system of values and social motivation. It is argued that the leading cause of the crisis is the inhibition of the innovative development of modern civilization, which made impossible the neocolonial exploitation of the rest of the world, using innovative superiority. Also, the author showed that a severe problem of the West is the stimulation of growth of quality of life standards and lowering the cost of labour. The paper presents options for responding to this crisis — military suppression of competitors, innovative breakthrough, self-isolation, and information and social manipulation.

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