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- W2952476181 abstract "Running time variability is one of the mostimportant factors determining service quality and operating cost ofhigh-frequency bus transit. This research aims to improveperformance analysis tools currently used in the bus transitindustry, particularly for measuring running time variability andunderstanding its effect on resource allocation using automateddata collection systems such as AVL. Running time variability comesfrom both systematic changes in ridership and traffic levels atdifferent times of the day, which can be accounted for in serviceplanning, and the inherent stochasticity of homogeneous periods,which must be dealt with through real-time operations control. Anaggregation method is developed to measure the non-systematicvariability of arbitrary time periods. Visual analysis tools aredeveloped to illustrate running time variability by time of day atthe direction and segment levels. The suite of analysis tools makesvariability analysis more approachable, potentially leading to morefrequent and consistent evaluations. A discrete event simulationframework is developed to evaluate hypothetical modifications to aroute's fleet size using automatically collected data. A simplemodel based on this framework is built to demonstrate its use.Running times are modeled at the segment level, capturingcorrelation between adjacent segments. Explicit modeling ofridership, though supported by the framework, is not included.Validation suggests that running times are modeled accurately, butthat further work in modeling terminal dispatching, dwell times,and real-time control is required to model headways robustly. Aresource allocation optimization framework is developed to maximizeservice performance in a group of independent routes, given theirheadways and a total fleet size constraint. Using a simulationmodel to evaluate the performance of a route with varying fleetsizes, a greedy optimizer adjusts allocation toward optimality. Dueto a number of simplifying assumptions, only minor deviations fromthe current resource allocation are considered. A potentialapplication is aiding managers to fine-tune resource allocation toimprove resource effectiveness." @default.
- W2952476181 created "2019-06-27" @default.
- W2952476181 creator A5049975853 @default.
- W2952476181 date "2013-01-01" @default.
- W2952476181 modified "2023-09-28" @default.
- W2952476181 title "Running time variability and resource allocation : adata-driven analysis of high-frequency bus operations; Data-driven analysis of high-frequency busoperations" @default.
- W2952476181 hasPublicationYear "2013" @default.
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