Determining Traffic State Evolution Index on Urban Arterial Road

Journal of Transportation Systems Engineering and Information Technology ›› 2014, Vol. 14 ›› Issue (3): 64-69.

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Determining Traffic State Evolution Index on Urban Arterial Road

GONG Jin-li^1，2, PENG Xian-wu³

1.School of Transportation Engineering, Central South University, Changsha 410083,China; 2. chool of Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China; 3. Sany Heavy Industry Co., Ltd, Changsha 410100, China

Received:2013-10-22 Revised:2014-01-02 Online:2014-06-25 Published:2014-07-10

城市干线道路交通“拥挤态势指数”的确定

弓晋丽^*1，2,彭贤武 ³

1.中南大学交通运输工程学院，长沙 410083; 2.长沙理工大学交通运输工程学院, 长沙 410114; 3.三一重工股份有限公司，长沙 410100

作者简介:弓晋丽（1983-），女，山西省文水县人，讲师，在站博士后.
基金资助:
863 计划项目（2007AA12Z242）；国家自然科学基金项目（50738004）；湖南省教育厅科学研究项目（13c1030）.

Abstract

Abstract:

To describe the traffic state evolution over time in an accurate and objective manner, this paper proposes the method to determine Traffic State Evolution Index on urban arterial road. Based on the fixed- point data, five congestion indexes are defined from both quantitative and qualitative aspects. And they are ar- ranged into“time series”in chronological sequence to reflect traffic state evolution. After these time-series’ dimension are reduced by multivariate statistics method, the Hurst indexes are calculated using R/S analysis method. The results are utilized to test the consistence of time- series, and to find the synthetic indicator which can evaluate the status from two aspects of qualitative and quantitative as Traffic State Evolution In- dex. In the last section, the Loop Detector data from the eastern of Shanghai North-South expressway in 11 days is taken as an example, and it is verified and concluded that factor 1 can be determined as Traffic State Evolution Index.

摘要：

为对道路交通拥挤随着时间发展演化情况作出准确客观的描述，本文研究了城市干线道路交通“拥挤态势指数”的确定方法.以定点检测数据为基础，从定性和定量两个角度分别定义了 5 个拥挤指标，并按时间顺序将它们排列成交通拥挤态势描述“时间序列”.在对上述时间序列使用多元统计“降维”后，使用 R/S 分析法计算各序列的 Hurst 指数.据此验证多个指标间的时间序列趋势一致性，找到既能从定性角度又能从定量角度进行综合评价的指标作为“拥挤态势指数”.最后，以上海南北高架东侧上 11 天的定点检测数据为例进行实证分析，确定了因子 1 作为“拥挤态势指数”.

关键词: 交通工程, 拥挤态势, R/S 分析, 定点检测数据

CLC Number:

U491.112

GONG Jin-li, PENG Xian-wu. Determining Traffic State Evolution Index on Urban Arterial Road[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(3): 64-69.

弓晋丽,彭贤武 . 城市干线道路交通“拥挤态势指数”的确定[J]. 交通运输系统工程与信息, 2014, 14(3): 64-69.

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References

[1] 关积珍. 城市交通综合指数交通出行指数及其数学建模[J]. 交通运输系统工程与信息. 2004，4（1）:49- 54.[GUAN J Z. Urban traffic index,travel index and mathe? matic model[J]. Journal of Transportation Systems Engineering and Information Technology. 2004，4（1）:49-54]

[2] National Research Council. 2000 Highway Capacity Manual[M]. Transportation Research Board. Washington, DC, 2000.
[3]    Lomax Tim. Quantifying congestion[R]. Transportation Research Board. Washington, DC, 1997.
[4] Schrank David, Lomax Tim. The 2002 Urban Mobility Report[R]. Texas Transportation Institute, Texas A & M University,2002.
[5] 关伟,何蜀燕,马继辉.    HMI——城市快速路发生交通拥堵的一个预警指标[J]. 交通运输系统工程与信息,2008, 8(5):26-31.[ GUAN W, HE S Y, MA J H. HMI:Prewarning index of traffic jam formation on urban freeway[J]. Journal of Transportation Systems Engineering and Infor?mation Technology,2008,,8(5):26-31.]
[6] 弓晋丽,    杨东援.基于检测线圈数据道路交通瓶颈分析[J]. 公路交通科技. 2010,27(7)：118- 122. [GONG J L,YANG D Y. The road bottleneck analysis based on loop detector data[J]. Journal of Highway and Transportation Research and Development. 2010,27(7)：118-122.]
[7] Chao Chen，Karl Petty，Alex Skabardonis，et al. Freeway performance measurement system mining loop detector data[C]. Transportation Research Record 1748. 2001：96- 102.
[8] 胡小文，杨东援. 城市快速道路交通流密度的估计[J]. 交通运输系统工程与信息. 2008,8(03)：79-82. [HU X W, YANG D Y. Estimation of traffic density on urban freeways[J]. Journal of Transportation Systems Engineer? ing and Information Technology. 2008,8(03)：79-82.]
[9] 贺国光,马寿峰,冯蔚东.对交通流分形问题的初步研究[J]. 中国公路学报,2002,04:85- 88.[ HE G G, MA S F,FENG W D. Preliminary study of fractals of traffic flow[J]. China Journal of Highway and Transport,2002,04:85-88.]
[10]    埃德加 E 彼得斯. 分形市场分析[M]. 北京: 经济科学出版社，2002.[Edgar E Peters. Fractal market analysis [M].Beijing: Economic Science Press, 2002.]
[11] 洪文学，著. 基于多元统计图表示原理的信息融合和模式识别技术[M]. 北京: 国防工业出版社，2008.[HONG W X. Information fusion and pattern recognition based on multivariate statistical graph[M]. Beijing: National Defence Industry Press,2008.]

Determining Traffic State Evolution Index on Urban Arterial Road

城市干线道路交通“拥挤态势指数”的确定

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