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Adaptive control strategy for isolat...
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The University of Akron.
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Adaptive control strategy for isolated intersection and traffic network.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Adaptive control strategy for isolated intersection and traffic network./
Author:
Shao, Chun.
Description:
118 p.
Notes:
Adviser: Ping Yi.
Contained By:
Dissertation Abstracts International70-06B.
Subject:
Engineering, Civil. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3361745
ISBN:
9781109203851
Adaptive control strategy for isolated intersection and traffic network.
Shao, Chun.
Adaptive control strategy for isolated intersection and traffic network.
- 118 p.
Adviser: Ping Yi.
Thesis (Ph.D.)--The University of Akron, 2009.
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.
ISBN: 9781109203851Subjects--Topical Terms:
783781
Engineering, Civil.
Adaptive control strategy for isolated intersection and traffic network.
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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.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3361745
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