Abstract
T2 is a rational and rigorous bicriterion traffic assignment model developed around a stochastic linear generalized cost model, which forecasts path choices and consequent equilibrium link volumes of trip makers with diverse values of time. Its path choice criterion minimizes a disutility equaling a stochastic sum of two link attributes—usually time and cost— both of which may be flow dependent. In contrast with the classical traffic assignment model, T2 permits different travelers to respond differently (as a result of factors such as travel time, tolls, congestion, taste, etc.) to the same path choices. This research provides an overview of T2’s mathematical model, solution algorithm, and implementing software.
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