Dynamic shortest route finder using pgRouting for emergency management

Singh, Pravendra; Lyngdoh, Rosly Boy; Chutia, Dibyajyoti; Saikhom, Victor; Kashyap, Bhargav; Sudhakar, S.

doi:10.1007/s12518-015-0161-4

Cited by 13 publications

(3 citation statements)

References 3 publications

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“…In this paper, the 3D path analysis was performed in PostGIS by using pgRouting functions (pgr_dijkstra, pgr_astar, etc.) [30][31][32]. The result of path analysis is a table that contains the sequence ids of nodes and edges in the shortest path.…”

Section: Visualization Of 3d Path Analysis With Indoor Path Modelsmentioning

confidence: 99%

A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks

Jian

Fan

Liu

et al. 2019

IJGI

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Generating 3D path models (with textures) from indoor paths is a good way to improve the visualization performance of 3D indoor path analysis. In this paper, a quaternion-based piecewise 3D modeling method is proposed to automatically generate highly recognizable 3D models for indoor path networks. To create such models, indoor paths are classified into four types of basic elements: corridor, stairs, elevator and node, which contain six kinds of edges and seven kinds of nodes. A quaternion-based method is devised to calculate the coordinates of the designed elements, and a piecewise 3D modeling method is implemented to create the entire 3D indoor path models in a 3D GIS scene. The numerical comparison of 3D scene primitives in different visualization modes indicates that the proposed method can generate detailed and irredundant models for indoor path networks. The result of 3D path analysis shows that indoor path models can improve the visualization performance of a 3D indoor path network by displaying paths with different shapes, textures and colors and that the models can maintain a high rendering efficiency (above 50 frames per second) in a 3D GIS scene containing more than 50,000 polygons and triangles.

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Section: Visualization Of 3d Path Analysis With Indoor Path Modelsmentioning

confidence: 99%

A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks

Jian

Fan

Liu

et al. 2019

IJGI

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“…Spatial weight matrix of roads (SWMR) is constructed to describe the conceptualization of road spatial relationships. The road network topology is created using pgRouting [31], which extends the PostGIS/PostgreSQL geospatial database to provide road network geospatial routing ability functions (e.g., pgr_createTopology, pgr_createVertices, pgr_analyzegraph, pgr_nodeNetwork). The road network DBF table with count of crashes is calculated using crash spatial aggregation algorithm to describe the conceptualization of spatial relationships between roads and crashes.…”

Section: ) Conceptualizationmentioning

confidence: 99%

Identify Road Clusters with High-Frequency Crashes Using Spatial Data Mining Approach

2019

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This paper develops a three-step spatial data mining approach to directly identify road clusters with high-frequency crashes (RCHC). The first step, preprocessing, is to store the roads and crashes in a spatial database. The second step is to describe the conceptualization of road–road and crash–road spatial relationships. The spatial weight matrix of roads (SWMR) is constructed to describe the conceptualization of road–road spatial relationships. The conceptualization of crash–road spatial relationships is established using crash spatial aggregation algorithm. The third step, spatial data mining, is to identify RCHC using the cluster and outlier analysis (local Moran’s I index). This approach was validated using spatial data set including roads and road-related crashes (2008–2018) from Polk County, IOWA, U.S.A. The findings of this research show that the proposed approach is successful in identifying RCHC and road outliers.

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“…The action plan input layers for land and water resources such as, potential sites for horticulture and afforestation, optimal sites for check dams etc., are generated through multi-criteria spatial analysis. The portal has various GIS tools for map visualisation, navigation, area statistic profile tool and other useful tools such as shortest route finder etc (PS Singh et al, 2015). The portals have been made available for 25 selected districts of NE region with an objective to strengthen the governance policy through geospatial inputs.…”

Section: Geospatial Data Disseminationmentioning

confidence: 99%

Operational Remote Sensing Services in North Eastern Region of India for Natural Resources Management, Early Warning for Disaster Risk Reduction and Dissemination of Information and Services

Raju¹,

Sarma²,

Barman³

et al. 2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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North Eastern Region (NER) of India comprising of eight states considered to be most unique and one of the most challenging regions to govern due to its unique physiographic condition, rich biodiversity, disaster prone and diverse socio-economic characteristics. Operational Remote Sensing services increased manifolds in the region with the establishment of North Eastern Space Applications Centre (NESAC) in the year 2000. Since inception, NESAC has been providing remote sensing services in generating inventory, planning and developmental activities, and management of natural resources, disasters and dissemination of information and services through geo-web services for NER. The operational remote sensing services provided by NESAC can be broadly divided into three categories viz. natural resource planning and developmental services, disaster risk reduction and early warning services and information dissemination through geo-portal services.As a apart of natural resources planning and developmental services NESAC supports the state forest departments in preparing the forest working plans by providing geospatial inputs covering entire NER, identifying the suitable culturable wastelands for cultivation of silkworm food plants, mapping of natural resources such as land use/land cover, wastelands, land degradation etc. on temporal basis.In the area of disaster risk reduction, NESAC has initiated operational services for early warning and post disaster assessment inputs for flood early warning system (FLEWS) using satellite remote sensing, numerical weather prediction, hydrological modeling etc.; forest fire alert system with actionable attribute information; Japanese Encephalitis Early Warning System (JEWS) based on mosquito vector abundance, pig population and historical disease intensity and agriculture drought monitoring for the region.The large volumes of geo-spatial databases generated as part of operational services are made available to the administrators and local government bodies for better management, preparing prospective planning, and sustainable use of available resources. The knowledge dissemination is being done through online web portals wherever the internet access is available and as well as offline space based information kiosks, where the internet access is not available or having limited bandwidth availability. This paper presents a systematic and comprehensive study on the remote sensing services operational in NER of India for natural resources management, disaster risk reduction and dissemination of information and services, in addition to outlining future areas and direction of space applications for the region.

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Dynamic shortest route finder using pgRouting for emergency management

Cited by 13 publications

References 3 publications

A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks

A Quaternion-Based Piecewise 3D Modeling Method for Indoor Path Networks

Identify Road Clusters with High-Frequency Crashes Using Spatial Data Mining Approach

Operational Remote Sensing Services in North Eastern Region of India for Natural Resources Management, Early Warning for Disaster Risk Reduction and Dissemination of Information and Services

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