Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency
Vector road networks are vital components of intelligent transportation systems and electronic navigation maps. There is a pressing need for efficient and rapid dynamic updates for road network data. In this paper, we propose a series of methods designed specifically for geometric change detection a...
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| Language: | English |
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MDPI AG
2024-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/14/1/2 |
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| author | Xiaodong Wang Dongbao Zhao Xingze Li Nan Jia Li Guo |
| author_facet | Xiaodong Wang Dongbao Zhao Xingze Li Nan Jia Li Guo |
| author_sort | Xiaodong Wang |
| collection | DOAJ |
| description | Vector road networks are vital components of intelligent transportation systems and electronic navigation maps. There is a pressing need for efficient and rapid dynamic updates for road network data. In this paper, we propose a series of methods designed specifically for geometric change detection and the topological consistency updating of multi-source vector road networks without relying on complicated road network matching. For geometric change detection, we employ buffer analysis to compare various sources of vector road networks, differentiating between newly added, deleted, and unchanged road features. Furthermore, we utilize road shape similarity analysis to detect and recognize partial matching relationships between different road network sources. For incremental updates, we define topology consistency and propose three distinct methods for merging road nodes, aiming to preserve the topological integrity of the road network to the greatest extent possible. To address geometric conflicts and topological inconsistencies, we present a fusion and update method specifically tailored for partially matched road features. In order to verify the proposed methods, a road central line network with a scale of 1:10000 from the official institution is employed to geometrically update the commercial navigation road network of a similar scale in the remote area. The experiment results indicate that our method achieves an impressive 91.7% automation rate in detecting geometric changes for road features. For the remaining 8.3% of road features, our method provides suggestions on potential geometric changes, albeit necessitating manual verification and assessment. In terms of the incremental updating of the road network, approximately 89.2% of the data can be seamlessly updated automatically using our methods, while a minor 10.8% requires manual intervention for road updates. Collectively, our methods expedite the updating cycle of vector road network data and facilitate the seamless sharing and integrated utilization of multi-source road network data. |
| format | Article |
| id | doaj-art-792950378098477b81c4396eaa778019 |
| institution | Kabale University |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-792950378098477b81c4396eaa7780192025-01-24T13:34:56ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-12-01141210.3390/ijgi14010002Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological ConsistencyXiaodong Wang0Dongbao Zhao1Xingze Li2Nan Jia3Li Guo4Key Laboratory of Smart Earth, Beijing 100029, ChinaKey Laboratory of Smart Earth, Beijing 100029, ChinaCollege of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaKey Laboratory of Smart Earth, Beijing 100029, ChinaKey Laboratory of Smart Earth, Beijing 100029, ChinaVector road networks are vital components of intelligent transportation systems and electronic navigation maps. There is a pressing need for efficient and rapid dynamic updates for road network data. In this paper, we propose a series of methods designed specifically for geometric change detection and the topological consistency updating of multi-source vector road networks without relying on complicated road network matching. For geometric change detection, we employ buffer analysis to compare various sources of vector road networks, differentiating between newly added, deleted, and unchanged road features. Furthermore, we utilize road shape similarity analysis to detect and recognize partial matching relationships between different road network sources. For incremental updates, we define topology consistency and propose three distinct methods for merging road nodes, aiming to preserve the topological integrity of the road network to the greatest extent possible. To address geometric conflicts and topological inconsistencies, we present a fusion and update method specifically tailored for partially matched road features. In order to verify the proposed methods, a road central line network with a scale of 1:10000 from the official institution is employed to geometrically update the commercial navigation road network of a similar scale in the remote area. The experiment results indicate that our method achieves an impressive 91.7% automation rate in detecting geometric changes for road features. For the remaining 8.3% of road features, our method provides suggestions on potential geometric changes, albeit necessitating manual verification and assessment. In terms of the incremental updating of the road network, approximately 89.2% of the data can be seamlessly updated automatically using our methods, while a minor 10.8% requires manual intervention for road updates. Collectively, our methods expedite the updating cycle of vector road network data and facilitate the seamless sharing and integrated utilization of multi-source road network data.https://www.mdpi.com/2220-9964/14/1/2vector road networkchange detectiontopological consistencyincremental update |
| spellingShingle | Xiaodong Wang Dongbao Zhao Xingze Li Nan Jia Li Guo Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency ISPRS International Journal of Geo-Information vector road network change detection topological consistency incremental update |
| title | Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency |
| title_full | Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency |
| title_fullStr | Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency |
| title_full_unstemmed | Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency |
| title_short | Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency |
| title_sort | change detection and incremental updates for multi source road networks considering topological consistency |
| topic | vector road network change detection topological consistency incremental update |
| url | https://www.mdpi.com/2220-9964/14/1/2 |
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