We consider a traffic network in which some of the roads need maintenance jobs. Due to budget constraints not all of the roads can be maintained and a central authority has to choose which of them are to be improved. We propose a nonlinear programming model where this choice is made according to its effects on the relative variation of the total cost, assuming that users behave according to Wardrop equilibrium principle. To assess the network improvement after maintenance we use the Bureau of Public Road link cost functions

A traffic equilibrium nonlinear programming model for optimizing road maintenance investments

Fabio Raciti
2020-01-01

Abstract

We consider a traffic network in which some of the roads need maintenance jobs. Due to budget constraints not all of the roads can be maintained and a central authority has to choose which of them are to be improved. We propose a nonlinear programming model where this choice is made according to its effects on the relative variation of the total cost, assuming that users behave according to Wardrop equilibrium principle. To assess the network improvement after maintenance we use the Bureau of Public Road link cost functions
2020
Traffic network · Wardrop equilibrium · Investment optimization · Braess paradox
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/498264
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