The use and management of multimodal transport systems, including
car-pooling and goods transportation, have become extremely
complex, due to their large size (sometimes several thousand
variables), the nature of their dynamic relationships as well as
the many constraints to which they are subjected. The managers of
these systems must ensure that the system works as efficiently as
possible by managing the various causes of malfunction of the
transport system (vehicle breakdowns, road obstructions, accidents,
etc.). The detection and resolution of conflicts, which are
particularly complex and must be dealt with in real time, are
currently processed manually by operators. However, the experience
and abilities of these operators are no longer sufficient when
faced with the complexity of the problems to be solved. It is thus
necessary to provide them with an interactive tool to help with the
management of disturbances, enabling them to identify the different
disturbances, to characterize and prioritize these disturbances, to
process them by taking into account their specifics and to evaluate
the impact of the decisions in real time.Each chapter of this book
can be broken down into an approach for solving a transport problem
in 3 stages, i.e. modeling the problem, creating optimization
algorithms and validating the solutions. The management of a
transport system calls for knowledge of a variety of theories
(problem modeling tools, multi-objective problem classification,
optimization algorithms, etc.). The different constraints increase
its complexity drastically and thus require a model that represents
as far as possible all the components of a problem in order to
better identify it and propose corresponding solutions. These
solutions are then evaluated according to the criteria of the
transport providers as well as those of the city transport
authorities.This book consists of a state of the art on innovative
transport systems as well as the possibility of coordinating with
the current public transport system and the authors clearly
illustrate this coordination within the framework of an intelligent
transport system.
Contents
1. Dynamic Car-pooling, Slim Hammadi and Nawel Zangar.2.
Simulation of Urban Transport Systems, Christian Tahon, Therese
Bonte and Alain Gibaud.3. Real-time Fleet Management: Typology and
Methods, Frederic Semet and Gilles Goncalves.4. Solving the Problem
of Dynamic Routes by Particle Swarm, Mostefa Redouane Khouahjia,
Laetitia Jourdan and El Ghazali Talbi.5. Optimization of Traffic at
a Railway Junction: Scheduling Approaches Based on Timed Petri
Nets, Thomas Bourdeaud'huy and Benoit Trouillet.
About the Authors
Slim Hammadi is Full Professor at the Ecole Centrale de Lille in
France, and Director of the LAGIS Team on Optimization of Logistic
systems. He is an IEEE Senior Member and specializes in distributed
optimization, multi-agent systems, supply chain management and
metaheuristics.Mekki Ksouri is Professor and Head of the Systems
Analysis, Conception and Control Laboratory at Tunis El Manar
University, National Engineering School of Tunis (ENIT) in Tunisia.
He is an IEEE Senior Member and specializes in control systems,
nonlinear systems, adaptive control and optimization.The multimodal
transport network customers need to be oriented during their
travels. A multimodal information system (MIS) can provide
customers with a travel support tool, allowing them to express
their demands and providing them with the appropriate responses in
order to improve their travel conditions. This book develops
methodologies in order to realize a MIS tool capable of ensuring
the availability of permanent multimodal information for customers
before and while traveling, considering passengers mobility.
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