Study on the Control of Traffic Congestion Based on Hierarchical Road Capacity

Dan Wang; Bei Lei Li

doi:10.4028/www.scientific.net/AMM.744-746.1862

Paper Titles

The Research of Pedestrian Overtaking Model in Urban Rail Channel
p.1843

The Research of Ponded Water Road Traffic Emergency Management Based on Internet of Things
p.1848

An Ensemble Model of Short-Term Traffic Flow Forecasting on Freeway
p.1852

Quantitative Evaluation for Road-Transport Industry Development Mode Transformation
p.1858

Study on the Control of Traffic Congestion Based on Hierarchical Road Capacity
p.1862

ANN Forecast Algorithmic Model for Port Logistic Demand Research
p.1869

E-Commerce Logistics Distribution Mode Analysis and Decision
p.1873

Selection and Evaluation of Railway Freight Third-Party-Logistics Based on F-AHP Method
p.1878

Study of the 3PL Network Planning Layout in a Province Based on Quick Response
p.1883

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 744-746Study on the Control of Traffic Congestion Based...

Study on the Control of Traffic Congestion Based on Hierarchical Road Capacity

Abstract:

City traffic congestion control as the core problem in ITS, has been paid more and more attention. This article from the actual characteristics of spatial structure of city to divide different traffic levels is based on the flow of people and vehicles that two variables, which foundation underlies a new model of road capacity that describe and analysis the problem of road capacity from the needs of congestion control. Only in this way can we deepen the understanding over the dynamic traffic flow of city, so as to strengthen the purpose of city traffic network congestion and control.

You might also be interested in these eBooks

Advances in Civil Engineering and Transportation IV

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 744-746)

Pages:

1862-1865

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.744-746.1862

Citation:

Cite this paper

Online since:

March 2015

Authors:

Dan Wang*, Bei Lei Li

Keywords:

Congestion Control, Road Capacity Model, Traffic Levels

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Downs A. Can traffic congestion be cured. The Washington Post, 2006(4): 955-974.

Google Scholar

[2] Wright C, Roberg P. The conceptual structure of traffic jams. Transport Policy, 1998, 5(1): 23-35.

DOI: 10.1016/s0967-070x(98)00006-7

Google Scholar

[3] GS, Calculation of the traffic capacity of the roads. Chinese storage, 2010, 09: 83-84.

Google Scholar

[4] XY Mo Study on the Mechanism of Urban Traffic Congestion, Doctoral Dissertation of Chang An University, (2012).

Google Scholar

[5] America highway traffic Handbook.

Google Scholar

[6] HL Biao, YZ., Reasons for the city road traffic congestion and Its Countermeasures. Journal of political science and law, 2007, 24(1): 114-118.

Google Scholar

[7] M. van den Berg,A. Hegyi,B. De Schutter, and J. Hellendoorn, A macroscopic traffic flow model for integrated control of freeway and urban traffic networks, in Proceedings of the 42nd IEEE Conference on Decision and Control, Maui, Hawaii USA, (2003).

DOI: 10.1109/cdc.2003.1273044

Google Scholar

[8] XY Mo, Urban Traffic Network Control: Modeling and Simulation, Master Dissertation Submitted to Shanghai Jiao Tong University, (2010).

Google Scholar

[9] M. Dotoli M.P. Fanti, and C. Meloni, A signal timing plan formulation for urban traffic control, Control Engineering Practice, vol. 14: 1297-1311, (2006).

DOI: 10.1016/j.conengprac.2005.06.013

Google Scholar

[10] Cohen Erez K Ben-Avraham D，Havlin S．2001．Breakdo, of the Internet underIntentional Attack．Physical Review Letters, 86: 3682-3685.

DOI: 10.1103/physrevlett.86.3682

Google Scholar