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 toWardrop equilibrium principle. To assess the network improvement after maintenance we use the Bureau of Public Road link cost functions.

Passacantando, M., Raciti, F. (2019). A Traffic Equilibrium Nonlinear Programming Model for Optimizing Road Maintenance Investments. In M. Paolucci, A. Sciomachen, P. Uberti (a cura di), Advances in Optimization and Decision Science for Society, Services and Enterprises (pp. 267-277). Springer International Publishing [10.1007/978-3-030-34960-8_24].

A Traffic Equilibrium Nonlinear Programming Model for Optimizing Road Maintenance Investments

Passacantando, M;
2019

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 toWardrop equilibrium principle. To assess the network improvement after maintenance we use the Bureau of Public Road link cost functions.
Capitolo o saggio
Traffic network; Wardrop equilibrium; investment optimization; Braess paradox
English
Advances in Optimization and Decision Science for Society, Services and Enterprises
Paolucci, M; Sciomachen, A; Uberti, P
2019
978-3-030-34959-2
3
Springer International Publishing
267
277
Passacantando, M., Raciti, F. (2019). A Traffic Equilibrium Nonlinear Programming Model for Optimizing Road Maintenance Investments. In M. Paolucci, A. Sciomachen, P. Uberti (a cura di), Advances in Optimization and Decision Science for Society, Services and Enterprises (pp. 267-277). Springer International Publishing [10.1007/978-3-030-34960-8_24].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/391571
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