Research on Urban Traffic Spatial Planning Strategies Based on Multi-Source Data:A Case of Zhuji City in Zhejiang Province
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.
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