[1] Hu Qizhou, Deng Wei, Sun Xu,. The comprehensive measure model for urban traffic congestionbased on value function [J]. Journal of Southeast University (English Edition), 2015, 31 (2): 272-275. [doi:10.3969/j.issn.1003-7985.2015.02.020]

Copy

The comprehensive measure model for urban traffic congestionbased on value function()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

31

Issue:

2015 2

Page:

272-275

Research Field:

Traffic and Transportation Engineering

Publishing date:

2015-06-20

Info

Title:

The comprehensive measure model for urban traffic congestionbased on value function

Author(s):

Hu Qizhou¹;  Deng Wei²;  Sun Xu³

¹School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
²School of Transportation, Southeast University, Nanjing 210096, China
³Institute of Transportation, Tsinghua University, Beijing 100084, China

Keywords:

urban traffic;  congestion;  measure matrix;  value function

PACS:

U294

DOI:

10.3969/j.issn.1003-7985.2015.02.020

Abstract:

According to the distribution characteristics of traffic congestion in time and space, a measure index system of urban traffic congestion is set up based on the spatial and temporal distribution. Based on the analysis of the main characteristics of traffic congestion and the generation process of traffic congestion, the measure model for urban traffic congestion is constructed by the value function. Moreover, based on the measure values of traffic congestion in urban road networks with defined different levels, a method to prevent and control traffic congestion is designed. The application results confirm that the proposed method is feasible in comprehensive measures for urban traffic congestion and they are consistent with the results of other methods. The measuring results can therefore reflect the actual situation. The comprehensive measure model is scientific and the process is simple, and it has wide application prospects and practical value.

References:

[1] Zheng Zuduo. Recent developments and research needs in modeling lane changing[J]. Transportation Research Part B, 2014, 60:16-32.
[2] XinYumei, Ruan Rujiang. The discussion of urban traffic congestion problem[J].Applied Mathematics, 2007, 20(1):31-36.(in Chinese)
[3] Kurzhanskiy A A, Varaiya P. Guaranteed prediction and estimation of the state of a road network[J]. Transportation Research Part C, 2012, 21(1):163-180.
[4]Zhu Yin, Lu Huapu, Liu Qiang. Research on the automatic detection algorithm of the early-warning system of the urban traffic incident[J]. Highway Traffic Science and Technology, 2004, 21(10):85-88.(in Chinese)
[5] Lou Yingyan, Yin Yafeng, Lawphongpanich S. Robust congestion pricing under boundedly rational user equilibrium [J].Transportation Research Part B, 2010, 44(1):15-28.
[6] 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.
[7]Sung T K, Chang N, Lee G. Dynamics of modeling in data mining: interpretive approach to bankruptcy prediction [J]. Journal of Management Information Systems, 1999, 16(1):63-85.
[8] Shao Jie, He Bin. The causes and countermeasure analysis of Beijing road traffic congestion [J].Road Traffic and Security, 2008, 8(1):39-44.(in Chinese)
[9]Hwang C L. Group decision making structures [M]. New York: Physica-Verlag, 1994.
[10] Jabari S E, Liu H X. A stochastic model of traffic flow: Gaussian approximation and estimation[J]. Transportation Research Part B, 2013, 47:15-41.
[11] Schmidt-Daffy M. Fear and anxiety while driving: differential impact of task demands, speed and motivation[J]. Transportation Research Part F, 2013, 16(1):14-28.
[12] Bagdadi O. Assessing safety critical braking events in naturalistic driving studies[J]. Transportation Research Part F, 2013, 16(1):117-126.

Memo

Memo:

Biography: Hu Qizhou(1975—), male, doctor, associate professor, qizhouhu@163.com.
Foundation item: The National Natural Science Foundation of China(No.51178157).
Citation: Hu Qizhou, Deng Wei, Sun Xu. The comprehensive measure model for urban traffic congestion based on value function[J].Journal of Southeast University(English Edition), 2015, 31(2):272-275.[doi:10.3969/j.issn.1003-7985.2015.02.020]

Common functions