# [1]胡启洲,邓卫,高宁波.城市路段交通拥挤态势测定的时序关联模型[J].东南大学学报(自然科学版),2014,44(3):673-676.[doi:10.3969/j.issn.1001-0505.2014.03.039] 　Hu Qizhou,Deng Wei,Gao Ningbo.Time series correlation model for traffic jam of urban roads[J].Journal of Southeast University (Natural Science Edition),2014,44(3):673-676.[doi:10.3969/j.issn.1001-0505.2014.03.039] 点击复制 城市路段交通拥挤态势测定的时序关联模型() 分享到： var jiathis_config = { data_track_clickback: true };

44

2014年第3期

673-676

2014-05-16

## 文章信息/Info

Title:
Time series correlation model for traffic jam of urban roads

1南京理工大学自动化学院, 南京210094; 2东南大学交通学院, 南京210096
Author(s):
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Transportation, Southeast University, Nanjing 210096, China

Keywords:

U294
DOI:
10.3969/j.issn.1001-0505.2014.03.039

Abstract:
The problem of traffic jam of urban roads is studied by the interval number theory and the time series relational method. Based on traffic jam characteristics and the influence factors of urban roads, comprehensively considering lots of influence factors of the urban environment system on traffic operation, the time series relational model for the traffic jam of urban roads is proposed. Based on the definition of positive ideal roads and negative ideal roads, the calculation process of relation interval is obtained. The priority degrees of urban roads are obtained by interval numbers. The priority degrees of urban roads are used to measure and sort the urban road traffic congestion state. And the most crowed urban road is determined by comparing the relational degrees of the interval numbers of urban roads. The application results validate that the measuring results of the proposed model can well reflect the actual situation. The model provides a scientific basis for solving the urban traffic congestion problem. It has wide application prospects and practical value.

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