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Title: Selecting and Scheduling Link and Intersection Improvements in Urban Networks
Accession Number: 01668853
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: Deciding which projects, alternatives or investments to implement is a complex and important problem not only in transportation engineering, but in management, operations research and economics. Projects are interrelated if their benefits or costs depend on which other projects are implemented. Furthermore, in the network development problem analyzed here, the timing of projects also affects the benefits and costs of other projects. This paper presents a method for optimizing the selection and scheduling of interrelated improvements in road networks that explicitly considers intersections. The Frank Wolfe algorithm, which is modified here to consider intersections, is used for evaluating network improvements as well as for traffic assignment. Intersections are modelled with pseudo-links whose delays are estimated with Akcelik’s generalized model. The objective is to minimize the present value of total costs (including user time) by determining which projects should be selected and when they should be completed. A genetic algorithm is used for optimizing the sequence and schedule of projects.
Report/Paper Numbers: 18-05088
Language: English
Authors: Jovanovic, UrosShayanfar, ElhamSchonfeld, Paul MPagination: pp 1-11
Publication Date: 2018-12
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2672 Media Type: Print
Features: Figures
(4)
; References
(24)
; Tables
(7)
TRT Terms: Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting
Files: TRIS, TRB, ATRI
Created Date: Dec 22 2017 10:38AM
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