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Dtic Ad0779446%3a Optimization Of Traffic Signal Settings In Networks By Mixed Integer Linear Programming by Defense Technical Information Center
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1DTIC AD0779446: Optimization Of Traffic Signal Settings In Networks By Mixed-Integer Linear Programming
By Defense Technical Information Center
A mixed-integer linear programming formulation is developed for minimizing delay to traffic in a signal controlled road network. Offsets, splits of green time and a common cycle time for the network are considered as decision variables simultaneously. The traffic flow pattern is modeled as a periodic platoon, and a link performance function is derived in the form of a piecewise linear convex surface representing the delay incurred by these platoons. Stochastic effects are accounted for by a saturation deterrence function representing the expected overflow queue on each link and are included as an additive component in the objective function. Computational results, using the MPSX system, are given for an arterial with 11 signals in Waltham, Mass., and a portion of the UTCS network in Washington, D.C. containing 20 nodes, 63 links and 21 loops.
“DTIC AD0779446: Optimization Of Traffic Signal Settings In Networks By Mixed-Integer Linear Programming” Metadata:
- Title: ➤ DTIC AD0779446: Optimization Of Traffic Signal Settings In Networks By Mixed-Integer Linear Programming
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC AD0779446: Optimization Of Traffic Signal Settings In Networks By Mixed-Integer Linear Programming” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Gartner, Nathan - MASSACHUSETTS INST OF TECH CAMBRIDGE OPERATIONS RESEARCH CENTER - *TRAFFIC - *LINEAR PROGRAMMING - *COMPUTER APPLICATIONS - MATHEMATICAL MODELS - URBAN PLANNING - NETWORK FLOWS - STOCHASTIC PROCESSES - QUEUEING THEORY
Edition Identifiers:
- Internet Archive ID: DTIC_AD0779446
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The book is available for download in "texts" format, the size of the file-s is: 67.52 Mbs, the file-s for this book were downloaded 61 times, the file-s went public at Sun Nov 24 2019.
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