[1]裴玉龙,刘锐,蔡小溪.面向拥堵分析的道路单元动静态融合划分方法[J].长安大学学报(自然科学版),2022,42(2):103-114.
　PEI Yu long,LIU Rui,CAI Xiao xi.Dynamic and static fusion partition method of road units fortraffic congestion analysis[J].Journal of Chang’an University (Natural Science Edition),2022,42(2):103-114.
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面向拥堵分析的道路单元动静态融合划分方法()
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长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第42卷
期数:
2022年2期
页码:
103-114
栏目:
交通工程
出版日期:
2022-03-15

文章信息/Info

Title:
Dynamic and static fusion partition method of road units fortraffic congestion analysis
作者:
裴玉龙; 刘锐; 蔡小溪
东北林业大学 交通学院，哈尔滨 150040
Author(s):
PEI Yulong;  LIU Rui;  CAI Xiaoxi
School of Traffic and Transportation, Northeast Forestry University, Harbin 150040, Heilongjiang， China
关键词:
交通工程; 道路单元划分; 聚类分析; 交通拥堵; 动态数据
Keywords:
traffic engineering; road unit division; cluster analysis; traffic jam; dynamic data
文献标志码:
A
摘要:
为解决现有城市道路单元划分方法与常发性交通拥堵特性联系较弱的缺陷，提出了一种融合道路静态属性与动态拥堵数据的面向城市交通拥堵分析的道路单元划分方法。首先，以道路静态属性中的路段通行能力节点、交叉口节点、立交节点、出入口节点等道路节点作为划分依据，将道路划分成若干静态道路单元。其次，利用拥堵数据结合Kmeans聚类法将道路划分为多类包含拥堵趋向段与畅通趋向段的动态道路单元。然后，根据交通流运行规律，阐述静态道路单元与动态道路单元在包含与被包含关系下的融合划分方法，通过融合划分方法生成最终的道路单元，且道路单元同时具备相似的道路静态属性与动态拥堵特征2种交通特性，可区分同一条城市道路路段内不同道路单元间的拥堵特性。最后，以哈尔滨市康安路进乡街一线作为试验道路展开实证分析。研究结果表明：长10.38 km的城市道路采用该方法进行划分后，双向道路分别被划分为24与20段，其结果相较于传统不定长分割法的划分精细度分别提高了41%与18%，该种道路单元划分方法可对长距离的城市道路做出较为细致的划分；利用案例第15、16、59 d的17:30、18:00、18:30三个时刻的路况与划分后的路段拥堵倾向进行匹配分析，匹配率分别为第15 d的84.6%、77.4%、93.8%，第16 d的85.1%、88.9%、78.8%，第59 d的78.4%、73.1%、75.0%；第15、16 d的匹配率较高，证明该种划分方法结果的准确性与拥堵数据的时效性存在较大关联。
Abstract:
In order to solve the defect of weak connection between the existing urban road unit division method and the characteristics of frequent traffic congestion, a road unit division method which can integrate road static attributes and dynamic congestion data for urban traffic congestion analysis was proposed. Firstly, the road was divided into several static road units based on the road nodes such as section capacity nodes, intersection nodes, interchange nodes and entrance and exit nodes in the road static attributes. Secondly, congestion data and Kmeans clustering method, which was used to divide the road into multiple dynamic road units including congestion trend section and unblocked trend section. Thirdly, according to the traffic flow operation law, the fusion division method of static road unit and dynamic road unit under the relationship of inclusion and inclusion was described, and the final road unit was generated through the fusion division method, and it was endowed with similar road static attributes and dynamic congestion characteristics at the same time, which can distinguish the congestion characteristics between different road units in the same urban road section. Finally, the line from Kangan road to Jinxiang street in Harbin was taken as the experimental road for empirical analysis. The results show that after the urban road with a length of 10.38 km is divided by this division method, the twoway road is divided into 24 sections and 20 sections respectively, compared with the traditional indefinite length division method, the division precision is increased by 41% and 18% respectively, indicating that this road unit division method can make a more detailed division of longdistance urban roads. The road conditions at 17:30, 18:00 and 18:30 on the 15th, 16th and 59th days of the case are analyzed with the road congestion tendency obtained after division, the matching rates are 84.6%, 77.4% and 93.8% on the 15th day, 85.1%, 88.9% and 78.8% on the 16th day and 78.4%, 73.1% and 75.0% on the 59th day, the matching rate in the 15th and 16th days are high, which proves that the accuracy of the results of this division method is greatly related to the timeliness of congestion data. 4 tabs, 13 figs, 32 refs.

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更新日期/Last Update: 2022-04-27