Co-design of traffic network topology and control measures
The two main directions to improve traffic flows in networks involve changing the network topology and introducing new traffic control measures. In this paper, the authors consider a co-design approach to apply these two methods jointly to improve the interaction between different methods and to get a better overall performance. They aim at finding the optimal network topology and the optimal parameters of traffic control laws at the same time by solving a co-optimization problem. However, such an optimization problem is usually highly non-linear and non-convex, and it possibly involves a mixed-integer form. Therefore, the authors discuss four different solution frameworks that can be used for solving the co-optimization problem, according to different requirements on the computational complexity and speed. A simulation-based study is implemented on the Singapore freeway network to illustrate the co-design approach and to compare the four different solution frameworks.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Cong, Zhe
- De Schutter, Bart
- Babuška, Robert
- Publication Date: 2015-5
Language
- English
Media Info
- Media Type: Digital/other
- Features: Appendices; Figures; Maps; References; Tables;
- Pagination: pp 56-73
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 54
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Design; Freeway management systems; Highway capacity; Network analysis (Planning); Network links; Optimization; Topology; Traffic signal control systems
- Geographic Terms: Singapore
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I73: Traffic Control;
Filing Info
- Accession Number: 01560578
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 17 2015 1:56PM