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First published online January 1, 2016

Arterial Progression Optimization Using OD-BAND: Case Study and Extensions

Tugba Arsava, Yuanchang Xie [email protected], and Nathan H. GartnerView all authors and affiliations

Volume 2558, Issue 1

https://doi.org/10.3141/2558-01

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.

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References

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Published In

Transportation Research Record

Volume 2558, Issue 1

Pages: 1 - 10

Article first published online: January 1, 2016

Issue published: January 2016

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© 2016 National Academy of Sciences.

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Authors

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Tugba Arsava

Department of Civil and Environmental Engineering, School of Civil Engineering, University of Massachusetts, Lowell, Falmouth Hall 108, 1 University Avenue, Lowell, MA 01854

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Yuanchang Xie

Department of Civil and Environmental Engineering, School of Civil Engineering, University of Massachusetts, Lowell, Falmouth Hall 108, 1 University Avenue, Lowell, MA 01854

[email protected]

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Nathan H. Gartner

Department of Civil and Environmental Engineering, School of Civil Engineering, University of Massachusetts, Lowell, Falmouth Hall 108, 1 University Avenue, Lowell, MA 01854

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Notes

Y. Xie, [email protected].

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