Transportation Systems Engineering: Theory and Methods
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.
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ESTIMATION OF TRAVEL DEMAND FLOWS 485
TRANSPORTATION SUPPLY DESIGN MODELS
TRANSPORTATION SYSTEMS ENGINEERING
A REVIEW OF NUMERICAL ANALYSIS
Variational inequality problems
ALGORITHMS FOR TRAFFIC ASSIGNMENT
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algorithm alternative analysis and/or assignment models assumed assumptions attributes average calculated calibration centroid Chapter choice set coefficients congestion constraints corresponding cost functions decision-maker defined demand flows demand models depend described in section destination deterministic elastic demand EMPU equal equation equilibrium assignment estimate example expressed feasible FIFO formulation given Hessian matrix Hierarchical Logit model hyperpath incidence matrix interval Jacobian link costs link flows mode choice models described Multinomial Logit Multinomial Logit model node non-additive O-D pair objective function obtained parameters path choice model path costs path flows perceived utility performance Probit Probit model problem random residuals random utility models random variable relationship relevant represented respect rigid demand sample shortest path simulate solution specification supply model systematic utility traffic counts transportation demand transportation system trip uncongested network assignment User Equilibrium variance variance-covariance matrix variational inequality vehicles zero zone