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Type of Document Thesis Author Lietz, Angela N Author's Email Address lietzan@eng.fsu.edu URN etd-05082008-145333 Title Replacement Cost Model for Moveable Bridges Degree Master of Science Department Civil and Environmental Engineering, Department of Advisory Committee
Advisor Name Title John Sobanjo Committee Member Ren Moses Committee Member Yassir AbdelRazig Committee Member Keywords
- Delay
- User Cost
- Moveable Bridge
- Traffic Queue
Date of Defense 2008-04-23 Availability unrestricted Abstract Moveable bridges create critical intersections on roadways causing excessive delays to vehiclesand vessels. Vehicles are forced to form a queue when the vessel traffic is being serviced and
similarly for vessel traffic. Stochastic and deterministic queuing models such as Adolf May
Continuum model and Webster methodology, etc… are explored to determine the queue characteristics, including CORSIM simulation software to model the vehicular queues at the
moveable bridge location and the adjacent roadway intersections. Vehicles delayed by the
moveable bridge opening incur high user delay costs. Objectives of this study include evaluating delay at moveable bridges and adjacent intersections, as well as evaluating level of service ratings and estimating associated costs, especially user delay costs, with replacement options. Replacement considerations to potentially reduce the delay and user costs would include the following options: (1) Existing moveable bridge, (2) higher moveable bridge, and (3) higher fixed-span bridge. To determine the feasibility of replacement alternatives a replacement cost
model was developed. The replacement cost model incorporates life-cycle cost analysis with
results, showing that the replacement options reduce or eliminate the delay conditions with an
emphasis on reducing user delay costs. Results obtained from the continuum queue model and
CORSIM software were compared with the field observations and it was concluded, using
statistical tests, that the continuum queue model and CORSIM simulation software could
accurately predict the queue characteristics.
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