A Bi-Criterion Multi-User Class Equilibrium Traffic Assignment Model and Solution Algorithm for Evaluating Road Pricing Strategies

ICCTP 2010 ◽  
2010 ◽  
Author(s):  
Lan Jiang ◽  
Jianying Wang
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Bosheng Rong ◽  
Hui Zhao ◽  
Shaohua Cui ◽  
Cuiping Zhang

This paper proposed a continuum dynamic model for autonomous vehicles in a polycentric urban city by considering the environment impact of traffic emission. The model assumes that homogeneous autonomous vehicles are continuously distributed over the urban areas which tend to choose a path to minimize their total travel cost from origin to destination. To describe the path choice behavior of travelers, we presented the continuum dynamic traffic assignment model which consists of a two-dimensional hyperbolic system of nonlinear conservation laws with source terms and an Eikonal-type equation. The elastic demand is considered using a function which associating each copy of flow with its total instantaneous travel cost. For the environmental impacts, here we consider the influence of CO emission and include the cost of emission into the actual transportation cost. A solution algorithm for the model is designed as a cell-centered finite volume method for conservation law equations and a fast sweeping method for Eikonal-type equations on unstructured grids. Numerical examples are given to demonstrate the model and the proposed solution algorithm. Further, the results of the travel cost considering CO emissions and not considering CO emissions are compared.


Author(s):  
Robert B. Dial

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.


1992 ◽  
Vol 26 (2) ◽  
pp. 119-128 ◽  
Author(s):  
Omar Drissi-Kaïtouni ◽  
Abdelhamid Hameda-Benchekroun

1976 ◽  
Vol 10 (5) ◽  
pp. 339-341 ◽  
Author(s):  
Michael Florian ◽  
Bennett Fox

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