Real Time Vehicle Routing in Large Networks
Introducing Global Optimization
(Sprache: Englisch)
The problems treated in this book are very simple in nature: how to route nvehicles in real time in a fast varying environment to pickup and deliver mpassengers when both n and m are large? These problems are very relevantto future transportation options...
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Produktinformationen zu „Real Time Vehicle Routing in Large Networks “
The problems treated in this book are very simple in nature: how to route n
vehicles in real time in a fast varying environment to pickup and deliver m
passengers when both n and m are large? These problems are very relevant
to future transportation options involving large scale real-time routing of
shared-ride fleet transit vehicles. But, even if the nature of these problems
looks so simple, solving them is not so straight forward, specially finding fast
and reliable solutions. Traditionally, dynamic routing solutions were found as
static approximations for smaller-scale problems or using local heuristics for
the larger-scale ones. Generally heuristics used for these types of problems do
not consider global optimality. This work develops a hierarchical methodology
to solve these types of problems in three stages seeking global
optimality.
The book first introduces the problems treated, secondly presents the main
characteristics of the proposed methodology, followed by insights on each of
the proposed stages. Then a general framework to use the proposed
methodology for any vehicle routing problem is presented. Finally, a real
application is presented.
The work is addressed to professionals and researchers working on vehicle
routing and network optimization issues.
Klappentext zu „Real Time Vehicle Routing in Large Networks “
The problems treated in this book are very simple in nature: how to route nvehicles in real time in a fast varying environment to pickup and deliver m
passengers when both n and m are large? These problems are very relevant
to future transportation options involving large scale real-time routing of
shared-ride fleet transit vehicles. But, even if the nature of these problems
looks so simple, solving them is not so straight forward, specially finding fast
and reliable solutions. Traditionally, dynamic routing solutions were found as
static approximations for smaller-scale problems or using local heuristics for
the larger-scale ones. Generally heuristics used for these types of problems do
not consider global optimality. This work develops a hierarchical methodology
to solve these types of problems in three stages seeking global
optimality.
The book first introduces the problems treated, secondly presents the main
characteristics of the proposed methodology, followed by insights oneach of
the proposed stages. Then a general framework to use the proposed
methodology for any vehicle routing problem is presented. Finally, a real
application is presented.
The work is addressed to professionals and researchers working on vehicle
routing and network optimization issues.
Autoren-Porträt von Laia P. Giralt
Laia Pagès Giralt, Civil Engineer at INSA,Toulouse, France (1999). She received a MS(2003) and a PhD (2006) in Civil Engineering at theInstitute of Transportation Studies, University ofCalifornia at Irvine, US. Associate Professor at"Universitat Politècnica de Catalunya", Spain.Researcher at "Servei Català de Trànsit", Spain.
Bibliographische Angaben
- Autor: Laia P. Giralt
- 2007, 240 Seiten, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller
- ISBN-10: 3836421712
- ISBN-13: 9783836421713
Sprache:
Englisch
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