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Adaptive Control Strategy for Isolated Intersection and Traffic Network

Shao, Chun
http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538

Abstract Details

2009, Doctor of Philosophy, University of Akron, Civil Engineering.
Traffic congestion due to increased travel demands is a common problem in urban areas across the United States. Among the many solutions to traffic congestion, operational treatment providing more efficient traffic operation is attractive due to its relatively low cost. Besides traditional operation treatments such as actuated control and signal coordination, adaptive signal control strategies have becoming increasingly popular since 1980s. The advantages of the existing adaptive control strategies, such as SCATS, SCOOT, OPAC and RHODES, over the actuated control scheme are reviewed and their limitations are used as the basis for improvement in this research. Two adaptive control logics, PODE and GABNOR, are proposed for isolated intersection and traffic network optimization. By using real-time traffic as input, PODE dynamically searches movement combinations for phasing and timing decisions that minimize piecewise system delay. In GABNOR, the obstacles preventing the application of Genetic Algorithm in real-time have been addressed and possible solutions have been presented. Implemented as computer programs, PODE and GABNOR are compared with other control logics and show competitive optimization ability. The results have been analyzed with statistic tools and the system sensitivity to traffic arrival pattern and system parameters are also analyzed. Future works are introduced to further examine and improve the performance of PODE and GABNOR.
Ping Yi (Advisor)
106 p.
Transportation
Adaptive Control Logic; Genetic Algorithm; PODE; GABNOR

Recommended Citations

Citations

  • Shao, C. (2009). Adaptive Control Strategy for Isolated Intersection and Traffic Network [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538

    APA Style (7th edition)

  • Shao, Chun. Adaptive Control Strategy for Isolated Intersection and Traffic Network. 2009. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538.

    MLA Style (8th edition)

  • Shao, Chun. "Adaptive Control Strategy for Isolated Intersection and Traffic Network." Doctoral dissertation, University of Akron, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=akron1239466538

    Chicago Manual of Style (17th edition)

akron1239466538
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© 2009, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.