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Urban Road Network Operation Quality Evaluation Method Based on High-Frequency Trajectory Data

机译:基于高频轨迹数据的城市路网运行质量评价方法

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Urban traffic congestion has become a big problem that obstructs sustainable urban development. Enhancing the road network operation quality is an effective way to alleviate congestion. The evaluation of urban road network operation quality is different from the congestion evaluation; it is a method for measuring the controllability of urban road network with increasing traffic demand pressure. Based on the two-fluid model of urban macroscopic traffic flow theory, two indicators including the Traffic Smoothness Index (TSI) and the Network Adaptability Index (NAI) were established to describe the urban road network operation quality. The model of large-scale high-frequency trajectory data processing to calculate the operation quality evaluation indicators was proposed. Then, two China cities of Beijing and Shanghai were taken as examples to analyze the operation quality of urban road network. The results show that the quality of the road network operation in Shanghai is better than that of Beijing. The degree of smoothness of the two cities' road network gradually improves from the downtown area to the border of urban area, but the road network in downtown areas have higher adaptability in both cities. The study is of great significance to improve the operation quality of urban road network and the service level of traffic system.
机译:城市交通拥堵已经成为阻碍城市可持续发展的大问题。提高路网运行质量是缓解拥堵的有效途径。城市路网运行质量评价与交通拥堵评价不同。它是一种随着交通需求压力的增加而测量城市路网可控性的方法。基于城市宏观交通流理论的双流体模型,建立了交通畅通性指标(TSI)和网络适应性指标(NAI)两个指标来描述城市道路网的运营质量。提出了大规模的高频轨迹数据处理模型,以计算运行质量评价指标。然后,以北京和上海这两个中国城市为例,分析了城市道路网络的运营质量。结果表明,上海的路网运行质量要好于北京。从市区到市区边界,两个城市的道路网络的平滑度逐渐提高,但是市区的道路网络在两个城市中都具有较高的适应性。该研究对于提高城市道路网的运营质量和交通系统的服务水平具有重要意义。

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