[1] Qi Hongsheng, Wang Dianhai, Song Xianmin, et al. On the critical conditions of traffic jams [J]. Journal of Southeast University (English Edition), 2011, 27 (2): 180-184. [doi:10.3969/j.issn.1003-7985.2011.02.013]

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On the critical conditions of traffic jams()

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

Volumn:

27

Issue:

2011 2

Page:

180-184

Research Field:

Traffic and Transportation Engineering

Publishing date:

2011-06-30

Info

Title:

On the critical conditions of traffic jams

Author(s):

Qi Hongsheng¹;  Wang Dianhai¹;  2;  Song Xianmin¹

¹ Transportation College, Jilin University, Changchun 130025, China
² College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

Keywords:

traffic engineering;  traffic jam;  traffic signal;  road network;  traffic wave

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2011.02.013

Abstract:

Traffic wave theory is used to study the critical conditions for traffic jams according to their features. First, the characteristics of traffic wave propagation is analyzed for the simple signal-controlled lane and the critical conditions for oversaturation is established. Then, the basic road is decomposed into a series of one-way links according to its topological characteristics. Based on the decomposition, traffic wave propagation under complex conditions is studied. Three complicated factors are considered to establish the corresponding critical conditions of jam formation, namely, dynamic and insufficient split, channelized section spillover and endogenous traffic flow. The results show that road geometric features, traffic demand structures and signal settings influence the formation and propagation of traffic congestion. These findings can serve as a theoretical basis for future network jam control.

References:

[1] Wright C, Roberg P. The conceptual structure of traffic jams[J]. Transport Policy, 1998, 5(1):23-35.
[2] Jiang X C, Pei Y L. Delay model of adaptive signal control using fixed number theory[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(3):66-70.
[3] Schreckenberg M, Neubert L, Wahle J. Simulation of traffic in large road networks[J]. Future Generation Computer Systems, 2001, 17(5):649-657.
[4] Linesch N J, D’Souza R M. Periodic states, local effects and coexistence in the BML traffic jam model[J]. Physica A: Statistical Mechanics and Its Applications, 2008, 387(24):6170-6176.
[5] Nagatani T, The physics of traffic jams[J]. Reports on Progress in Physics, 2002, 65: 1331-1386.
[6] Daganzo C F. Urban gridlock: macroscopic modeling and mitigation approaches[J]. Transportation Research, Part B, 2007, 41(1): 49-62.
[7] Lago A, Daganzo C F. Spillovers, merging traffic and the morning commute[J]. Transportation Research, Part B, 2007, 41(6):670-683.
[8] Sheffi Y. Urban transportation networks: equilibrium analysis with mathematical programming methods[M]. Englewood Cliffs, NJ: Prentice-Hall, Inc., 1985.

Memo

Memo:

Biographies: Qi Hongsheng(1983—), male, graduate; Wang Dianhai(corresponding author), male, doctor, professor, wangdianhai@sohu.com.
Foundation items: The National Basic Research Program of China(973 Program)(No.2006CB705505), the Basic Scientific Research Fund of Jilin University(No.200903209).
Citation: Qi Hongsheng, Wang Dianhai, Song Xianmin. On the critical conditions of traffic jams[J].Journal of Southeast University(English Edition), 2011, 27(2):180-184.[doi:10.3969/j.issn.1003-7985.2011.02.013]

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