Design and development of advanced spatio temporal database models
The researchers have presented a spatial database model for geometric path planning suitable for facilitating disaster management activities. The spatial queries executed using the proposed approach can reduce the computational time needed to find an optimal collision free path for network analysis....
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| Format: | Article |
| Language: | English |
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REA Press
2024-09-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_204148_a8d4852cc77a6dcec983019831712550.pdf |
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| _version_ | 1832579306453204992 |
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| author | Garima Jolly Sunita Bhatti |
| author_facet | Garima Jolly Sunita Bhatti |
| author_sort | Garima Jolly |
| collection | DOAJ |
| description | The researchers have presented a spatial database model for geometric path planning suitable for facilitating disaster management activities. The spatial queries executed using the proposed approach can reduce the computational time needed to find an optimal collision free path for network analysis. The framework is applicable to 2-dimensional and 3-dimensional workspaces. The strategy used decouples the motion planning problem into small tractable problems, which are solved using know path planning algorithm. |
| format | Article |
| id | doaj-art-c654f36a2e19438f908be26389340f95 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2024-09-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-c654f36a2e19438f908be26389340f952025-01-30T12:23:37ZengREA PressBig Data and Computing Visions2783-49562821-014X2024-09-014323624410.22105/bdcv.2024.475648.1185204148Design and development of advanced spatio temporal database modelsGarima Jolly0Sunita Bhatti1JECRC University, Jaipur, India.JECRC University, Jaipur, India.The researchers have presented a spatial database model for geometric path planning suitable for facilitating disaster management activities. The spatial queries executed using the proposed approach can reduce the computational time needed to find an optimal collision free path for network analysis. The framework is applicable to 2-dimensional and 3-dimensional workspaces. The strategy used decouples the motion planning problem into small tractable problems, which are solved using know path planning algorithm.https://www.bidacv.com/article_204148_a8d4852cc77a6dcec983019831712550.pdfindex terms-avoidancedisaster managementpath planningquery processingspatial databasevisibility graph |
| spellingShingle | Garima Jolly Sunita Bhatti Design and development of advanced spatio temporal database models Big Data and Computing Visions index terms-avoidance disaster management path planning query processing spatial database visibility graph |
| title | Design and development of advanced spatio temporal database models |
| title_full | Design and development of advanced spatio temporal database models |
| title_fullStr | Design and development of advanced spatio temporal database models |
| title_full_unstemmed | Design and development of advanced spatio temporal database models |
| title_short | Design and development of advanced spatio temporal database models |
| title_sort | design and development of advanced spatio temporal database models |
| topic | index terms-avoidance disaster management path planning query processing spatial database visibility graph |
| url | https://www.bidacv.com/article_204148_a8d4852cc77a6dcec983019831712550.pdf |
| work_keys_str_mv | AT garimajolly designanddevelopmentofadvancedspatiotemporaldatabasemodels AT sunitabhatti designanddevelopmentofadvancedspatiotemporaldatabasemodels |