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Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS
At present, the large amount of data generated by transportation and logistics in cities brings great difficulties to data management and operation. The purpose is to explore the applicability of WebGIS and expand the application of intelligent interactive urban traffic logistics management. An urba...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252662/ https://www.ncbi.nlm.nih.gov/pubmed/35795767 http://dx.doi.org/10.1155/2022/9347247 |
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author | Li, Zhaodi Li, Dan |
author_facet | Li, Zhaodi Li, Dan |
author_sort | Li, Zhaodi |
collection | PubMed |
description | At present, the large amount of data generated by transportation and logistics in cities brings great difficulties to data management and operation. The purpose is to explore the applicability of WebGIS and expand the application of intelligent interactive urban traffic logistics management. An urban traffic logistics management system is designed for urban traffic route assignment and intelligent interaction based on the WebGIS system and the basic principles and related algorithms of urban traffic route assignment. Then, the operation of the system under different shortest path algorithms and different path assignment algorithms is discussed. As a result, the Dijkstra algorithm runs faster than the Floyd algorithm. The comparison of three different road assignment algorithms shows that the no road assignment algorithm has the smallest average time consumption, which is 264.43 ms. The running time of the continuous average algorithm is the same as that of the user balance algorithm. The WebGIS system has practical application value compared with the TransCAD system and Cube system. This article proposes that the interactive function of the system can be used normally. The vehicle information of the test sample points can be displayed, and the function realization effect is good. The research results can provide scientific references for the follow-up research on intelligent transportation. |
format | Online Article Text |
id | pubmed-9252662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92526622022-07-05 Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS Li, Zhaodi Li, Dan Comput Intell Neurosci Research Article At present, the large amount of data generated by transportation and logistics in cities brings great difficulties to data management and operation. The purpose is to explore the applicability of WebGIS and expand the application of intelligent interactive urban traffic logistics management. An urban traffic logistics management system is designed for urban traffic route assignment and intelligent interaction based on the WebGIS system and the basic principles and related algorithms of urban traffic route assignment. Then, the operation of the system under different shortest path algorithms and different path assignment algorithms is discussed. As a result, the Dijkstra algorithm runs faster than the Floyd algorithm. The comparison of three different road assignment algorithms shows that the no road assignment algorithm has the smallest average time consumption, which is 264.43 ms. The running time of the continuous average algorithm is the same as that of the user balance algorithm. The WebGIS system has practical application value compared with the TransCAD system and Cube system. This article proposes that the interactive function of the system can be used normally. The vehicle information of the test sample points can be displayed, and the function realization effect is good. The research results can provide scientific references for the follow-up research on intelligent transportation. Hindawi 2022-06-27 /pmc/articles/PMC9252662/ /pubmed/35795767 http://dx.doi.org/10.1155/2022/9347247 Text en Copyright © 2022 Zhaodi Li and Dan Li. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Zhaodi Li, Dan Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title | Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title_full | Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title_fullStr | Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title_full_unstemmed | Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title_short | Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS |
title_sort | data visualization and interaction of urban traffic logistics management system using webgis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252662/ https://www.ncbi.nlm.nih.gov/pubmed/35795767 http://dx.doi.org/10.1155/2022/9347247 |
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