scholarly journals Road Network Analysis with GIS and GRASS-GIS: A Probabilistic Approach

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Giuseppe Caristi ◽  
Roberto Guarneri ◽  
Sabrin Lo Bosco
Keyword(s):  
Information System ◽  
Network Analysis ◽  
Road Network ◽  
Probabilistic Approach ◽  
Geographical Information ◽  
Classification Rule ◽  
Grass Gis ◽  
The Road ◽  
Maximum Value

In this paper we show how it can be useful to the probability of intersections in the determination of a classification rule for raster conversions in Geographical Information System (GIS) and GRASS GIS for the Road Network Analysis (RNA). We use a geometric probabilities approach for irregular path considering these results for transportation planning operations. We study two particular problems with irregular tessellations, in order to have a situation more realistic respect to map GIS and considering also the maximum value of probability to narrow the range of possible probability values.

scholarly journals GIS Based Services Using Network Analysis of Khartoum North

2020 ◽  
Vol 5 (7) ◽  
pp. 1375-1381
Author(s):  
Mohamed Elamin Ahmed Babiker ◽  
Hajir Khaild Elshaikh Idris
Keyword(s):  
Information System ◽  
Network Analysis ◽  
Travel Time ◽  
Geographical Information System ◽  
Road Network ◽  
Service Area ◽  
Geographical Information ◽  
Optimal Service ◽  
Present Study Attempt ◽  
Potential Use

A Geographical Information System (GIS) utility, such as network analysis is a tool used to solve common network problem, This study is intended to use GIS as a tool of analyzing. integrating and displaying information. the overall activities of the work were concentrated around sub area selected as the study site in the Khartoum north city (Khartoum ) of main capital, Sudan .To demonstrate the use of road network analysis, this project focused on determining the best route between too destinations , the closest facility from a given incident , and a service area for a given facility . The present study attempt to analyze the potential use of network analysis in defining the optimal service area of different services such as hospitals, schools and university of Khartoum north. Generally for the purposes of this project ,distance is taken as impedance in order to find the best route and the closest facility and that of travel time is taken as impedance in order to find the service area.

scholarly journals Road Networks Winter Risk Estimation Using On-Board Uncooled Infrared Camera for Surface Temperature Measurements over Two Lanes

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
M. Marchetti ◽  
M. Moutton ◽  
S. Ludwig ◽  
L. Ibos ◽  
V. Feuillet ◽  
...  
Keyword(s):  
Data Analysis ◽  
Road Network ◽  
Risk Estimation ◽  
Risk Index ◽  
Road Networks ◽  
Infrared Camera ◽  
Atmospheric Parameters ◽  
The Road ◽  
Measurement Rate

Thermal mapping has been implemented since the late eighties to establish the susceptibility of road networks to ice occurrence with measurements from a radiometer and some atmospheric parameters. They are usually done before dawn during wintertime when the road energy is dissipated. The objective of this study was to establish if an infrared camera could improve the determination of ice road susceptibility, to build a new winter risk index, to improve the measurements rate, and to analyze its consistency with seasons and infrastructures environment. Data analysis obtained from the conventional approved radiometer sensing technique and the infrared camera has shown great similarities. A comparison was made with promising perspectives. The measurement rate to analyse a given road network could be increased by a factor two.

scholarly journals GIS-Based Urban Road Network Accessibility Modeling Using MLR, ANN and ANFIS Methods

2021 ◽  
Vol 22 (1) ◽  
pp. 15-28
Author(s):  
K. Sai Sahitya ◽  
Csrk Prasad
Keyword(s):  
Network Structure ◽  
Road Network ◽  
Structural Parameters ◽  
Transportation Network ◽  
Sustainable Transportation ◽  
Geographical Information ◽  
Urban Road Network ◽  
Inference System ◽  
Urban Road ◽  
The Road

Abstract A sustainable transportation system is possible only through an efficient evaluation of transportation network performance. The efficiency of the transport network structure is analyzed in terms of its connectivity, accessibility, network development, and spatial pattern. This study primarily aims to propose a methodology for modeling the accessibility based on the structural parameters of the urban road network. Accessibility depends on the arrangement of the urban road network structure. The influence of the structural parameters on the accessibility is modeled using Multiple Linear Regression (MLR) analysis. The study attempts to introduce two methods of Artificial Intelligence (AI) namely Artificial Neural Networks (ANN) and Adaptive network-based neuro-fuzzy inference system (ANFIS) in modeling the urban road network accessibility. The study also focuses on comparing the results obtained from MLR, ANN and ANFIS modeling techniques in predicting the accessibility. The results of the study present that the structural parameters of the road network have a considerable impact on accessibility. ANFIS method has shown the best performance in modeling the road network accessibility with a MAPE value of 0.287%. The present study adopted Geographical Information Systems (GIS) to quantify, extract and analyze different features of the urban transportation network structure. The combination of GIS, ANN, and ANFIS help in improved decision-making. The results of the study may be used by transportation planning authorities to implement better planning practices in order to improve accessibility.

Slow-moving landslides interacting with the road network: Analysis of damage using ancillary data, in situ surveys and multi-source monitoring data

2019 ◽  
Vol 260 ◽  
pp. 105244 ◽  
Author(s):  
Nicoletta Nappo ◽  
Dario Peduto ◽  
Olga Mavrouli ◽  
Cees J. van Westen ◽  
Giovanni Gullà
Keyword(s):  
Network Analysis ◽  
Road Network ◽  
Source Monitoring ◽  
Monitoring Data ◽  
Ancillary Data ◽  
The Road ◽  
Slow Moving

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.

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