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作者:

Lin, Pengfei (Lin, Pengfei.) | Weng, Jiancheng (Weng, Jiancheng.) | Yin, Baocai (Yin, Baocai.) (学者:尹宝才) | Zhou, Xiang (Zhou, Xiang.)

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EI Scopus

摘要:

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. © 2018 IEEE.

关键词:

Data handling Intelligent systems Intelligent vehicle highway systems Motor transportation Quality control Roads and streets Traffic congestion Trajectories Two phase flow Urban growth

作者机构:

  • [ 1 ] [Lin, Pengfei]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Weng, Jiancheng]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Yin, Baocai]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Zhou, Xiang]Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing, China

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年份: 2018

卷: 2018-November

页码: 3602-3607

语种: 英文

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WoS核心集被引频次: 0

SCOPUS被引频次: 2

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