城市建筑2023，Vol.20Issue(23)：57-62,6.DOI:10.19892/j.cnki.csjz.2023.23.13
基于多源数据的城市交通空间规划策略研究
Research on Urban Traffic Spatial Planning Strategies Based on Multi-Source Data:A Case of Zhuji City in Zhejiang Province
王登忠 1谢安政 2袁超3
作者信息
- 1. 浙江省交通运输科学研究院||同济大学建筑与城市规划学院
- 2. 杭州市城乡建设发展研究院
- 3. 同济大学建筑与城市规划学院
- 折叠
摘要
Abstract
With the rapid growth of motor vehicles,the traffic congestion caused by the imbalance between supply and demand of urban road traffic resources is becoming more and more serious.The alleviation of urban traffic congestion has become a world difficulty.In order to improve the accuracy of traffic status judgment,based on the data of bayonet and taxi,the multi-source data is fused by the adaptive weighted average fusion road segment speed estimation model in this paper.At the same time,the fuzzy average clustering algorithm(FCM)is used to identify traffic congestion.The spatial and temporal distribution of urban traffic congestion is further evaluated.On this basis,the comprehensive traffic planning and response strategies are proposed from the aspects of synergistic development of regional urban land use planning and transportation services,prioritization of public transportation and optimization of road intersection clusters in the central urban area.Finally,an empirical study was conducted in Zhuji City.关键词
交通规划/多源数据/数据融合/交通状态/空间优化Key words
traffic planning/multi-source data/data fusion/traffic state/spatial optimization分类
建筑与水利引用本文复制引用
王登忠,谢安政,袁超..基于多源数据的城市交通空间规划策略研究[J].城市建筑,2023,20(23):57-62,6.
