Author	Cascetta, Ennio. author
Title	Transportation Systems Engineering: Theory and Methods [electronic resource] / by Ennio Cascetta
Imprint	Boston, MA : Springer US : Imprint: Springer, 2001
Connect to	http://dx.doi.org/10.1007/978-1-4757-6873-2
Descript	XIX, 710 p. 163 illus. online resource

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 engineering is a broad discipline aimed at the functional design of physical and/or organizational projects relating to transportation supply systems. These projects defme the functional characteristics and performances of system elements (services, prices, infrastructures, vehicles, control, etc.) that, taken as a whole, provide transportation opportunities to satisfy the travel demand of persons and goods in a given area. The basic approach of transportation system engineering is to defme the main characteristics of transportation services starting with the analysis and simulation of the demand for such services. Physical elements of the system are designed and/or identified among those available to provide the characteristics and performances required by the transportation services

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

1. Engineering
2. Geography
3. Complexity
4. Computational
5. Economic theory
6. Regional economics
7. Spatial economics
8. Engineering
9. Complexity
10. Economic Theory/Quantitative Economics/Mathematical Methods
11. Regional/Spatial Science
12. Geography
13. general