A Priori Combinatorial Optimization Tools For Transit Network Planning
Author(s)
A. Pratelli
Abstract
A priori combinatorial optimization tools for
transit network planning
A. Pratelli
Department of Civil Engineering "Vie e Trasporti" University of Pisa,
Italy
Abstract
In the field of transport planning we are often interested in solving combinatorial
optimization problems on subsets of network nodes which are requiring visit
with a certain probability (for example, this is typical in dial-a-ride problems).
Such cases are well suited for the so-called a priori optimization strategy that
represents a potential more effective alternative to the traditional reoptimization
strategy. Indeed, such strategy copes when there are some stochastic elements
expressly enclosed into the basic problem formulation. This is an important
feature, because the resulting model is more respondent to the real world
characteristics that are always affected by random causes, such as travel times,
stop locations, demand fluctuations, and so on.
The paper first presents the a priori optimizati
Keywords
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