A new algorithm for solving the traffic equilibrium assignment problem isproposed in this paper, its convergence is proved, and the numerical results on sma1l testnetworks are also given.
Resolving traffic assignment problems with a logit model will result in some error because of the correlation of the trip cost and the flux, whereas the application of the random equilibrium assignment model is confined for its complex arithmetic.
Transit equilibrium assignment is to assign the OD demand to each link or line of the transit network properly. In other words, to seek the equilibrium flow pattern of the transit network .
The introduction of this dissertation is given in chapter 1, which briefly gives the present state and background of network flow equilibrium assignment problem and the information method, and the main results in the dissertation.
Recommended future research includes improved algorithms for stochastic and dynamic equilibrium assignment, new methods for calibrating assignment models, and the use of Geographic Information Systems (GIS) technology for data and model management.
The extension to incorporate the time dimension through the use of dynamic equilibrium assignment methods is proposed as an enhancement that is necessary in order to produce realistic models.
The second approach uses mathematical programming techniques associated to equilibrium assignment problems to estimate a trip matrix in congested areas.
For each approach a different optimization model and some solution algorithms are proposed; both models and algorithms are based on the assumptions of within-day static system and stochastic user equilibrium assignment models.
In this paper, multimode models for urban traffic equilibrium assignment are built. A new algorithm——FWN is proposed, which can converge fast. The computational examples show that the results obtained are satisfactory.
A new algorithm for solving the traffic equilibrium assignment problem isproposed in this paper, its convergence is proved, and the numerical results on sma1l testnetworks are also given.
Resolving traffic assignment problems with a logit model will result in some error because of the correlation of the trip cost and the flux, whereas the application of the random equilibrium assignment model is confined for its complex arithmetic. An amelioration of the logit model and a step by step arithmetic are implemented. The improved model is simple, rational and easily resoluted and the relationship of the trip cost and flux is also considered, therefore, it is applicable for the...