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Title: Arterial Progression Optimization Using OD-BAND
Accession Number: 01618245
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: OD-BAND is a progression optimization model that can provide dedicated progression bands for major origin–destination (O-D) flows in an arterial network. The model is an extension of the well-known MAXBAND model and is solved by advanced mathematical programming optimization software. In this paper, the original OD-BAND model is extended in a number of important ways: (a) the mathematical formulation is generalized to model all possible O-D flows in an arterial; (b) phase sequence optimization is included for all intersections along the arterial; and (c) the bandwidths are weighted by the number of street segments that they traverse and their traffic volumes. It is shown that this formulation can provide suitable progression bands for all major O-D flows, including both through bands and cross bands. Simulation results demonstrated that OD-BAND compared favorably with existing arterial traffic signal coordination models MAXBAND and MULTIBAND and could be used as a valuable tool in signal control software. In particular, this approach is most suitable for integrated traffic signal coordination and route guidance in an environment of connected vehicles in which connected vehicles and crowd-sourced data can be used to derive detailed and accurate O-D information. Progression bands can then be established for each major O-D flow, and route guidance can be provided to vehicles to travel within those bands with minimum delay and fuel consumption.
Monograph Title: Monograph Accession #: 01618024
Report/Paper Numbers: 16-2476
Language: English
Authors: Arsava, TugbaXie, YuanchangGartner, Nathan HPagination: pp 1-10
Publication Date: 2016
ISBN: 9780309441315
Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management
Files: TRIS, TRB, ATRI
Created Date: Nov 30 2016 8:51AM
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