We present an efficient algorithm to identify which edge should be improved in a traffic network to minimize the total travel time. Our main result is to show that it is possible to approximate the variation of total travel time obtained by changing the congestion coefficient of any given edge, by performing only local computations, without the need of recomputing the entire equilibrium flow. To obtain such a result, we reformulate our problem in terms of the effective resistance between two adjacent nodes and suggest a new approach to approximate such effective resistance. We then study the optimality of the proposed procedure for recurrent networks, and provide simulations over synthetic and real transportation networks.

Optimal Intervention in Traffic Networks / Cianfanelli, Leonardo; Como, Giacomo; Ozdaglar, Asuman; Parise, Francesca. - ELETTRONICO. - (2021).

Optimal Intervention in Traffic Networks

Cianfanelli, Leonardo;Como, Giacomo;
2021

Abstract

We present an efficient algorithm to identify which edge should be improved in a traffic network to minimize the total travel time. Our main result is to show that it is possible to approximate the variation of total travel time obtained by changing the congestion coefficient of any given edge, by performing only local computations, without the need of recomputing the entire equilibrium flow. To obtain such a result, we reformulate our problem in terms of the effective resistance between two adjacent nodes and suggest a new approach to approximate such effective resistance. We then study the optimality of the proposed procedure for recurrent networks, and provide simulations over synthetic and real transportation networks.
File in questo prodotto:
File Dimensione Formato  
OptInterventionArxiv.pdf

accesso aperto

Descrizione: Articolo principale
Tipologia: 1. Preprint / submitted version [pre- review]
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 484.98 kB
Formato Adobe PDF
484.98 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2901952