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Arterial Progression Optimization Using OD-BAND: Case Study and Extensions
- Source :
- Transportation Research Record: Journal of the Transportation Research Board. 2558:1-10
- Publication Year :
- 2016
- Publisher :
- SAGE Publications, 2016.
-
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.
- Subjects :
- 050210 logistics & transportation
Engineering
Traverse
business.industry
Mechanical Engineering
05 social sciences
SIGNAL (programming language)
Sequence optimization
Phase (waves)
Control software
010501 environmental sciences
01 natural sciences
Traffic signal
Software
0502 economics and business
business
Algorithm
Simulation
0105 earth and related environmental sciences
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 21694052 and 03611981
- Volume :
- 2558
- Database :
- OpenAIRE
- Journal :
- Transportation Research Record: Journal of the Transportation Research Board
- Accession number :
- edsair.doi...........b8b272c24c670adbcc8fdc29fb3f4e64