A Dynamic Traffic Coordination Control Model of Congestion Based on Synergetics

Peng Gao; Zhao Sheng Yang

doi:10.4028/www.scientific.net/KEM.480-481.1039

Paper Titles

Communication Software Design of Remote Monitoring System for Motor Excitation Parameters Based on PSTN
p.1018

The Formalization of Least Privilege Mining in RBAC
p.1023

Image Processing of the Hook on the Catenary Based on Machine Vision
p.1028

CNC Remote Monitoring and Fault Diagnosis Based on Multi-Agent Technology
p.1033

A Dynamic Traffic Coordination Control Model of Congestion Based on Synergetics
p.1039

Polyphone Disambiguation Based on Maximum Entropy Model in Mandarin Grapheme-to-Phoneme Conversion
p.1043

Optimal Design of 6-UPU Parallel Mechanism
p.1055

Entire Symmetric Structure Inchworm-Type Piezoelectric Linear Actuator
p.1061

Preparation and Characterization of Chitosan-Casein Phosphopeptides Biocomposite Coatings on the Medical Titanium Alloy
p.1065

HomeKey Engineering MaterialsKey Engineering Materials Vols. 480-481A Dynamic Traffic Coordination Control Model of...

A Dynamic Traffic Coordination Control Model of Congestion Based on Synergetics

Abstract:

The cooperation of urban traffic control system and urban traffic flow guidance system may perform an important role in alleviating traffic congestion. To achieve this objective, a dynamic traffic coordination control model of traffic congestion based on synergetics is proposed in this paper. After that approach, a simulation scheme based on VISSIM 4.2 is carried to evaluate the reliability of the model. The results proved that the whole system could benefit a lot.

You might also be interested in these eBooks

Materials Engineering for Advanced Technologies

View Preview

Info:

Periodical:

Key Engineering Materials (Volumes 480-481)

Pages:

1039-1042

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.480-481.1039

Citation:

Cite this paper

Online since:

June 2011

Authors:

Peng Gao, Zhao Sheng Yang

Keywords:

Synergetics, Traffic Congestion, Traffic Coordination Control Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] X.J. Tan, J. Zhou, et al, Analysis of Characteristic and Decision Making for Management of Urban Traffic Congestion, Journal of Industrial Engineering Management, 17.

Google Scholar

[1] p.56~60, (2003).

Google Scholar

[2] S.G. Ritchie, A knowledge-based decision support architecture for advanced traffic management, Transportation Research A, 24, pp.27-37, (1990).

DOI: 10.1016/0191-2607(90)90068-h

Google Scholar

[3] Roberg P., A distributed strategy for eliminating incident-based traffic jams from urban networks, Trafic Engineering & Control, 36, pp.348-355, (1995).

Google Scholar

[4] Ghassan Abu-Lebdeh, Design and evaluation of dynamic traffic management strategies for congested conditions, Transportation Research Part A, 37, pp.109-127, (2003).

DOI: 10.1016/s0965-8564(02)00006-x

Google Scholar