[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]
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城市路段交通拥挤态势测定的时序关联模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第3期
页码:
673-676
栏目:
交通运输工程
出版日期:
2014-05-16

文章信息/Info

Title:
Time series correlation model for traffic jam of urban roads
作者:
胡启洲1邓卫2高宁波1
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):
Hu Qizhou1 Deng Wei2 Gao Ningbo1
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Transportation, Southeast University, Nanjing 210096, China
关键词:
交通 路段 拥挤 测度矩阵
Keywords:
traffic road jam measure matrix
分类号:
U294
DOI:
10.3969/j.issn.1001-0505.2014.03.039
摘要:
利用区间数理论和时序关联方法对城市路段交通拥挤问题进行了研究.根据城市路段交通拥挤特性和影响因素,在综合考虑城市环境系统对交通运营影响因素基础上,建立了城市路段交通拥挤的时序关联模型.在定义正负理想路段的基础上,给出了关联区间的计算过程,并利用优属度区间对各路段交通拥挤态势进行测定和排序,识别出最拥挤的城市路段.应用结果表明,所提出模型的测定结果能够较好地反映实际情况,可为解决城市交通拥挤问题提供科学决策依据,该测定模型具有一定的应用前景和实用价值.
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.

参考文献/References:

[1] 祝付玲.城市路段交通拥挤测度指标体系研究[D].南京:东南大学交通学院,2006.
[2] Inoue H. Traffic equilibrium and its solution in congested road networks[C]//Proceedings of IFAC Control in Transportation Systems. Florence, Italy, 1986:267-272.
[3] van den Berg V, Verhoef E T. Congestion tolling in the bottleneck model with heterogeneous values of time[J]. Transportation Research Part B, 2011, 45(1):60-78
[4] Bravo M, Briceño L, Cominetti R, et al. An integrated behavioral model of the land-use and transport systems with network congestion and location externalities [J]. Transportation Research Part B, 2010, 44(4):584-596.
[5] 朱茵,陆化普,刘强. 城市交通预警系统的事件自动检测算法研究[J]. 公路交通科技, 2004, 21(10):85-88.
  Zhu Yin, Lu Huapu, Liu Qiang. Urban traffic warning system automatic incident detection algorithm[J]. Highway Transportation Technology, 2004, 21(10):85-88.(in Chinese)
[6] Blumberg M, Bar-Gera H. Consistent node arrival order in dynamic network loading models[J]. Transportation Research Part B, 2009, 43(3):285-300.
[7] Chiabaut N, Leclercq L, Buisson C. From heterogeneous drivers to macroscopic patterns in congestion[J]. Transportation Research Part B, 2010, 44(2):299-308.
[8] 程琳,王炜. 拥挤交通网络模型和增强拉格朗日乘子算法[J]. 管理科学学报, 2006, 9(5):18-27.
  Cheng Lin, Wang Wei. Jam traffic network model and genetic algorithms[J]. Journal of Management Science, 2006, 9(5):18-27.(in Chinese)
[9] Liu H X, Wu Xinkai, Ma Wenteng, et al. Real-time queue length estimation for congested signalized intersections[J]. Transportation Research Part C, 2009, 17(4):412-427.
[10] Chen B, Cheng H H, Palen J. Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems[J]. Transportation Research Part C, 2009,17(1):1-10.
[11] Aboudolas K, Papageorgiou M, Kosmatopoulos E. Store-and-forward based methods for the signal control problem in large-scale congested urban road networks[J]. Transportation Research Part C, 2009, 17(2):163-174.
[12] Geroliminis N, Karlaftis M G, Skabardonis A. A spatial queuing model for the emergency vehicle districting and location problem[J]. Transportation Research Part B, 2009, 43(7):798-811.

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备注/Memo

备注/Memo:
收稿日期: 2013-10-10.
作者简介: 胡启洲(1975—),男,博士,副教授, qizhouhu@163.com.
基金项目: 国家自然科学基金资助项目(51178157,51208256)、国家统计科研计划资助项目(2012LY150)、教育部人文社会科学研究资助项目(12YJCH071)、江苏省高校“青蓝工程”资助项目(201211).
引用本文: 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]
更新日期/Last Update: 2014-05-20