Browse > Article

The Integrated Control Model for the Freeway Corridors based on Multi-Agent Approach  

Cho, Ki-Yong (School of Mechanical Engineering, Sungkyunkwan University)
Bae, Chul-Ho (Graduate School of Mechanical Engineering, Sungkyunkwan University)
Lee, Jung-Hwan (Graduate School of Mechanical Engineering, Sungkyunkwan University)
Chu, Yul (School of Electric and Computer Engineering, Mississippi State University)
Suh, Myung-Won (School of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.14, no.5, 2006 , pp. 84-92 More about this Journal
Abstract
Freeway Corridors consist of urban freeways and parallel arterials that drivers can use alternatively. Ramp metering in freeways and signal control in arterials are contemporary traffic control methods that have been developed and applied in order to improve traffic conditions of freeway corridors. However, most of the existing studies have focused on either optimal ramp metering in freeways, or progression signal strategies between arterial intersections. There have been no traffic control systems in Korea that integrates the freeway ramp metering and arterial signal control. The effective control strategies for freeway operations may cause negative effects on arterial traffic. On the other hand, traffic congestion and bottleneck phenomenon of arterials due to the increasing peak-hour travel demand and ineffective signal operation may generate an accessibility problem to freeway ramps. Thus, the main function of the freeway which is the through-traffic process has not been successful. The purpose of this study is to develop an integrated control model that connects freeway ramp metering systems and signal control systems in arterial intersections. And Optimization of integrated control model which consists of ramp metering and signal control is another purpose. Optimization results are verified by comparison with the results from MATDYMO.
Keywords
Vehicle dynamics; Multi-agent; Traffic simulation; Virtual driving lane; Agent simulation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 E. S. Park, J. H. Lim, I. H. Suh and Z. Bien, 'Hierarchical Optimal Control of Urban Traffic Networks,' International Journal of Control, Vol.40, pp.813-829, 1984   DOI   ScienceOn
2 K. Y. Cho and M. W. Suh, 'Multi-Agent for Traffic Simulation with Vehicle Dynamic Model. II: Development of Agnet,' Transactions of KSAE, Vol.12, No.5, pp.136-145, 2004
3 D. S. Goodsell and A. J. Olson, 'Automated Docking of Substrates to Proteins by Simulated Annealing,' Proteins: Struct. Funct. Genet, pp. 195-202, 1990
4 M. Papageoriou, 'An Integrated Control Approach for Traffic Corridors,' Transportation Research, Vol.3, pp.19-30, 1995   DOI   ScienceOn
5 J. C. Helton and F. J. Davis, 'Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems,' Reliability Engineering & System Safety, Vol.81, pp.23-69, 2003   DOI   ScienceOn
6 2020 City Plan, http://www.seoul.go.kr/org/organ/subhomepage/urban/2020cityplan/index.html
7 P. I. Cowling and R. Keuthen, 'Embedded Local Search Approaches for Routing Optimization,' Computers & Operations Research, Vol.32, pp. 465-490, 2005   DOI   ScienceOn
8 K. Y. Cho and M. W. Suh, 'Multi-Agent for Traffic Simulation with Vehicle Dynamic Model. I: Development of Traffic Environment,' Transactions of KSAE, Vol.12, No.5, pp.125-135, 2004
9 D. Chakraborty, 'Artificial neural network based Delamination Prediction in Laminated Composites,' Materials & Design, Vol.26, pp.1-7, 2005   DOI   ScienceOn
10 R. B. Chandra and S. Sivaramakrishnan, 'A Multidimensional Mixed Ordered-response Model for Analyzing Weekend Activity Participation,' Transportation Research Part B:Methodological, Vol.39, pp.255-278, 2005   DOI   ScienceOn