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Two solution algorithms for the predictive dynamic simultaneous route and departure time equilibrium problem
This paper proposes a simultaneous route and departure time choice equilibrium formulation. This is accomplished through defining a gap function to convert the variational inequality formulation to an equivalent mathematical program. Two algorithms are given: one is heuristic algorithm based on the gap function; the other is the neural network algorithm. Finally, numerical results for a simple network are provided to demonstrate the feasibility of the solution.
Two solution algorithms for the predictive dynamic simultaneous route and departure time equilibrium problem
This paper proposes a simultaneous route and departure time choice equilibrium formulation. This is accomplished through defining a gap function to convert the variational inequality formulation to an equivalent mathematical program. Two algorithms are given: one is heuristic algorithm based on the gap function; the other is the neural network algorithm. Finally, numerical results for a simple network are provided to demonstrate the feasibility of the solution.
Two solution algorithms for the predictive dynamic simultaneous route and departure time equilibrium problem
ShuGuang Li, (author)
2003-01-01
273067 byte
Conference paper
Electronic Resource
English
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