基于模糊层次理论的城市群路网匹配模型构建及其应用

李朝奎; 李婷; 周新邵; 唐炉亮; 张新长; 胡焜豪

doi:10.3799/dqkx.2022.408

Volume 49 Issue 8

Aug. 2024

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Article Navigation > Earth Science > 2024 > 49(8): 3020-3028

Li Chaokui, Li Ting, Zhou Xinshao, Tang Luliang, Zhang Xinchang, Hu Kunhao, 2024. Urban Road Network Matching Model Based on Fuzzy Hierarchy Theory and Its Application. Earth Science, 49(8): 3020-3028. doi: 10.3799/dqkx.2022.408

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Li Chaokui, Li Ting, Zhou Xinshao, Tang Luliang, Zhang Xinchang, Hu Kunhao, 2024. Urban Road Network Matching Model Based on Fuzzy Hierarchy Theory and Its Application. Earth Science, 49(8): 3020-3028. doi: 10.3799/dqkx.2022.408

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Urban Road Network Matching Model Based on Fuzzy Hierarchy Theory and Its Application

doi: 10.3799/dqkx.2022.408

Li Chaokui^{1, 4
,
,},
Li Ting^{1, 2
,
,
,},
Zhou Xinshao³,
Tang Luliang¹,
Zhang Xinchang¹,
Hu Kunhao¹

1.
National-Local Joint Engineering Laboratory of Geo-Spatial Information Technology, Hunan University of Science and Technology, Xiangtan 411201, China
2.
College of Resources, Environment and Safety Engineering in Hunan University of Science and Technology, Xiangtan 411201, China
3.
School of Information and Electronic Engineering, Hunan City University, Yiyang 413000, China
4.
Xiangtan Software Development Co. Ltd., Xiangtan 411201, China

Received Date: 2022-07-05
Available Online: 2024-08-27
Publish Date: 2024-08-25

Abstract

Abstract

With the acceleration of the infrastructure construction of national urban agglomeration, the demand for the current situation of urban road network data has increased sharply. Aiming at the instability of the current road network matching algorithm with location and length as the main parameters, as well as the uncertainty and poor reliability of the analysis results, a new road network matching model based on fuzzy hierarchy theory is proposed. The model is constructed by integrating multiple evaluation indexes, and the index weight is optimized. The model is used to evaluate the consistency of the road network. The road network of Changsha Zhuzhou Xiangtan Urban Agglomeration is taken as the experimental object for experimental verification. The experimental results show that the matching model proposed in this paper can effectively improve the matching accuracy of road network, and has good stability and reliability. The accuracy and recall of road matching have reached 92.9% and 86.2% respectively, which is significantly higher than 86.7% and 83.8% of the existing typical matching methods. The research results provide a new and more effective method for road network matching and evaluation.
- urban group,
- road network,
- matching model,
- Fuzzy hierarchy process,
- Chang-Zhu-Tan city group,
- geography

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References(34)

References

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