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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/11136

Title: Optimal resource allocation among transit agencies for fleet management
Authors: MATHEW, TV
KHASNABIS, S
MISHRA, S
Keywords: maintenance management
assistance allocation
model
performance
algorithm
networks
services
policies
Issue Date: 2010
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 44(6), 418-432
Abstract: Most transit agencies require government support for the replacement of their aging fleet A procedure for equitable resource allocation among competing transit agencies for the purpose of transit fleet management is presented in this study The proposed procedure is a 3-dimensional model that includes the choice of a fleet improvement program, agencies that may receive them, and the timing of investments Earlier efforts to solve this problem involved the application of 1- or 2-dimensional models for each year of the planning period These may have resulted in suboptimal solution as the models are blind to the impact of the fleet management program of the subsequent years Therefore, a new model to address a long-term planning horizon is proposed. The model is formulated as a non-linear optimization problem of maximizing the total weighted average remaining life of the fleet subjected to improvement program and budgetary constraints Two variants of the problem, one with an annual budget constraint and the other with a single budget constraint for the entire planning period, are formulated. Two independent approaches, namely, branch and bound algorithm and genetic algorithm are used to obtain the solution An example problem is solved and results are discussed in details. Finally, the model is applied to a large scale real-world problem and a detailed analysis of the results is presented. (C) 2010 Elsevier Ltd .
URI: http://dx.doi.org/10.1016/j.tra.2010.03.016
http://dspace.library.iitb.ac.in/xmlui/handle/10054/11136
http://hdl.handle.net/10054/11136
ISSN: 0965-8564
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