Transportation Systems Engineering Theory and Methods

Transportation Systems Engineering Theory and Methods / by Ennio Cascetta.

Science is made offactsjust as a house is made of bricks, but a collection offacts is no more science than a pile of bricks is a house. Henry Poincare The aim of the disciplines of praxis is not theoretical knowledge .... It is to change the forms of action ... .. .. Aristotle Transportation systems...

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Bibliographic Details
Main Author: Cascetta, Ennio (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:Applied Optimization, 49
Springer eBook Collection.
Subjects:
Computational complexity.
Economic theory.
Regional economics.
Spatial economics.
Geography.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1. Transportation Systems
  • 2. Transportation Supply Models
  • 3. Random Utility Theory
  • 4. Transportation Demand Models
  • 5. Models for Traffic Assignment to Transportation Networks
  • 6. Intra-Period (within-Day) Dynamic Models*
  • 7. Algorithms for Traffic Assignment to Transportation Networks
  • 8. Estimation of Travel Demand Flows
  • 9. Transportation Supply Design Models
  • 10. Transportation Systems Engineering for Planning and Evaluation
  • A. Review of Numerical Analysis
  • A.1. Sets and functions
  • A.1.1. Elements of set topology
  • A.1.2. Differentiable functions
  • A.1.3. Convex functions
  • A.2. Solution algorithms
  • A.3. Fixed point problems
  • A.3.1. Properties of fixed points
  • A.3.2. Solution algorithms for fixed point problems
  • A.4. Optimization problems
  • A.4.1. Properties of minimum points
  • A.4.1.1. Properties of minimum points on open sets
  • A.4.1.2. Properties of minimum points on closed sets
  • A.4.2. Solution algorithms for optimization problems
  • A.4.2.1. Mono-dimensional optimization algorithms
  • A.4.2.2. Unconstrained multi-dimensional optimization algorithms
  • A.4.2.3. Bounded variables multi-dimensional optimization algorithms
  • A.4.2.4. Linearly constrained multi-dimensional optimization algorithms
  • A.5. Variational inequality problems
  • A.5.1. Properties of variational inequalities
  • A.5.2. Solution algorithms for variational inequality problems
  • References
  • Main Variables.

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