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A GRASP for the Bus Driver Scheduling Problem

Authors: R. DE LEONE; FESTA, PAOLA; E. MARCHITTO;

A GRASP for the Bus Driver Scheduling Problem

Abstract

This paper addresses the problem of determining the best scheduling for Bus Drivers, i.e. the problem of finding the minimum number of drivers required to cover a set of Piece-Of-Works (POWs) subject to a variety of rules and regulations that must be enforced such as the overspread and the working time. This problem is known in literature as Crew Scheduling Problem and in particular in public transportation it is designated as Bus Driver Scheduling Problem. The Bus Driver Scheduling Problem is an extremely complex part of the Transportation Planning System. Its combinatorial nature and the large dimension of real-world problems has led to the development of several heuristics. Wren and Rousseau~\cite{Wren-conference} give an outline of the Bus Driver Scheduling Problem (BDSP) and propose various approaches for solving it.

Country
Italy
Keywords

Combinatorial Optimization, Bus Driver Scheduling Problem; Combinatorial Optimization; Approximate Solutions, Bus Driver Scheduling Problem, Approximate Solutions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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