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  ![Buchcover ISBN 9781461376385]() 
  
Each chapter in Equilibrium and Advanced Transportation  Modelling develops a topic from basic concepts to the  state-of-the-art, and beyond. All chapters relate to aspects of  network equilibrium. Chapter One advocates the use of simulation  models for the representation of traffic flow movements at the  microscopic level. Chapter Two presents travel demand systems for  generating trip matrices from activity-based models, taking into  account the entire daily schedule of network users. Chapter Three  examines equilibrium strategic choices adopted by the passengers of a  congested transit system, carefully addressing line selection at  boarding and transfer nodes. Chapter Four provides a critical  appraisal of the traditional process that consists in sequentially  performing the tasks of trip generation, trip distribution, mode split  and assignment, and its impact on the practice of transportation  planning. Chapter Five gives an insightful overview of stochastic  assignment models, both in the static and dynamic cases. Chapters Six  and Seven investigate the setting of tolls to improve traffic flow  conditions in a congested transportation network. Chapter Eight  provides a unifying framework for the analysis of multicriteria  assignment models. In this chapter, available algorithms are  summarized and an econometric perspective on the estimation of  heterogeneous preferences is given. Chapter Nine surveys the use of  hyperpaths in operations research and proposes a new paradigm of  equilibrium in a capacitated network, with an application to transit  assignment. Chapter Ten analyzes the transient states of a system  moving towards equilibrium, using the mathematical framework of  projected dynamical systems. Chapter Eleven discusses an in-depth  survey of algorithms for solving shortest path problems, which are  pervasive to any equilibrium algorithm. The chapter devotes special  attention to the computation of dynamic shortest paths and to shortest  hyperpaths. The final chapter considers operations research tools for  reducing traffic congestion, in particular introducing an algorithm  for solving a signal-setting problem formulated as a bilevel program.




