Pedestrian network information extraction based on VGI

GEOMATICA ◽  
2018 ◽  
Vol 72 (3) ◽  
pp. 85-99 ◽  
Author(s):  
Xuejing Xie ◽  
Guojian Ou

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.

2005 ◽  
Vol 58 (2) ◽  
pp. 273-282 ◽  
Author(s):  
Wu Chen ◽  
Zhilin Li ◽  
Meng Yu ◽  
Yongqi Chen

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.


Author(s):  
M. A. Brovelli ◽  
M. Minghini ◽  
M. E. Molinari

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.


Author(s):  
Martin Černý

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.


Author(s):  
C. Mi ◽  
F. Lu

<p><strong>Abstract.</strong> With the gradual opening of floating car trajectory data, it is possible to extract road network information from it. Currently, most road network extraction algorithms use unified thresholds to ignore the density difference of trajectory data, and only consider the trajectory shape without considering the direction of the trajectory, which seriously affects the geometric precision and topological accuracy of their results. Therefore, an adaptive radius centroid drift clustering method is proposed in this paper, which can automatically adjust clustering parameters according to the track density and the road width, using trajectory direction to complete the topological connection of roads. The algorithm is verified by the floating car trajectory data of a day in Futian District, Shenzhen. The experimental results are qualitatively and quantitatively analyzed with ones of the other two methods. It indicates that the road network data extracted by this algorithm has a significant improvement in geometric precision and topological accuracy, and which is suitable for big data processing.</p>


Author(s):  
Maksim Yur'evich Kolpakov

This article traces the history of the development and operation of trunk road from Pskov through Gdov, to Ivangorod and Narva, which was actively used during the pre-Petrine era. This route can be viewed as one of the typical examples of the Pskov border road. Written and visual sources of the XVII century allow reconstructing the isolated sections of the road, estimating the quality of road surface and infrastructure, and characterizing everyday activities of the travelers. The texts of the report compiled by the Dutch envoy Albert Joachim (1616), schedule of routs from Pskov of 1656, &ldquo;Notes about Russia&rdquo; of Erich Palmquist (1674), and &ldquo;Diary Notes&rdquo; of the General von Allart (1700) served as the sources for this research. The travel from Pskov to Narva took traditional (long) route and two short roads. Travelers faced multiple difficulties common to the borderland roads &ndash; poor condition of road surface, lack of accommodation, absence of road signs, rough weather, threat to health and property. The maximum average travel speed on the known road was 61 verst (65.07 km) per day. The typical average speed of a summer trip was 30 verst (32 km) per day. From December to March, most commodities were transported between the cities by sledge. The road network of the Pskov borderlands was more adapted for winter trips.


Author(s):  
Липунов ◽  
K. Lipunov ◽  
Лемешева ◽  
E. Lemesheva ◽  
Тихомиров ◽  
...  

In this paper, an analysis of the road network and infrastructure of the Bryansk region on the example of the federal highway M-3 &#34;Ukraine&#34; (Kiev highway). The description of the state of road fabric, its length and the number of lanes. Transport-performance of the road network and bridges do not meet the stresses of modern heavy vehicles and traffic. The planned activities of the area is not considered raising technical category road. To improve the region&#180;s economy and the country&#180;s need to carry out the improvement of road infrastructure, taking into account the different methods that will reduce accidents on the roads, increase and accelerate the flow of goods through the region. It proposed a number of measures to enhance the capacity: to improve the quality of road surface with the transfer of the 1st category; adding overlapping areas; the creation of parking areas and service centers for freight transport, and installation of video cameras for control and monitoring of the road.


2018 ◽  
Vol 7 (7) ◽  
pp. 253 ◽  
Author(s):  
Afsaneh Nasiri ◽  
Rahim Ali Abbaspour ◽  
Alireza Chehreghan ◽  
Jamal Jokar Arsanjani
Keyword(s):  

Author(s):  
Evgeniy V. Rozhkov ◽  

The article aims to identify problems in the road industry of the Perm Region in order to find optimal solutions. The methods of descriptive, inductive and institutional analysis were applied. Regulatory and legal acts, as well as the activities and responsibilities of state bodies in the field of road building and maintenance were studied. The share of citizens who noted an improvement in the state of roads in the Perm Region in 2019 was 21.2%. Nevertheless, more new roads should be built and the existing roads should be maintained according to regulatory requirements. To this end, the quality of asphalt concrete materials and placement operations should be monitored. It is hoped that future regulatory documents will forbid installation of heating pipelines under public roads in cities. In order to make informed decisions in the road industry in the region, the number of mobile laboratories, diagnostic and laser scanning complexes should be increased. Since the financing for the improvement and development of the road network in the Perm Region in 2019 was fulfilled only by 90.37%, it is necessary to strengthen control over the timely payment of completed contracts. The research findings can be used by authorities in the development of regional socio-economic strategies.


Author(s):  
Christina Iliopoulou ◽  
Maria Tseliou ◽  
Konstantinos Kepaptsoglou ◽  
Stratos Papadimitriou

The transformation of urban roadways into pedestrian streets is a popular measure for reshaping city parts and enhancing their livability. Nevertheless, pedestrianization schemes are expected to have some impact on the performance of the neighboring road network, especially if these are established ad-hoc or solely based on non-transport criteria. This study introduces a methodological tool for supporting decisions on implementing pedestrianization schemes in urban networks. A bi-level network design model variant is developed for that purpose, whose design objective is to maximize the extent of pedestrian streets in an urban network, while maintaining acceptable impacts to the performance of the road network. Alternative decisions on pedestrianization are considered for each network segment; these include partial (one-directional) or complete (bi-directional) pedestrianization under physical and operational criteria and constraints. The model is applied for a mid-sized urban network in Greece and solved using a genetic algorithm. Results show that the pedestrianization of almost 7% of the road network in relation to length leads to a 40% increase in total network travel time, while a higher ratio of complete versus partial pedestrianization is more advantageous. Outcomes also reveal that that rigid design guidelines should be examined in a case-by-case approach, as superior results may be attained if some constraints, such as those related to the overall street width, are relaxed. Reasonably, policy priorities significantly impact generated solutions and are expected to play a decisive role in the design of pedestrianization schemes.


2020 ◽  
Vol 2020 (3) ◽  
pp. 56-64
Author(s):  
Andrey Azarchenkov ◽  
Nikolai Marchenkov

We consider the factors influencing the choice and assessment of the quality of the route in the road network. A formula is proposed for assessing the quality of a route in the road network in terms of optimizing the path between two points. The model was tested on 60 created graphs. With their help, the optimal parameters of the user model were selected. Methods for setting the parameters of the considered model are proposed for the developed formula. The resulting model has a moderate complexity in assessing the quality of the route and its software implementation, while simultaneously covering the most important characteristics of the road network and supporting efficient pathfinding on the graphs of the road network. It also provides good customization of the model.


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