The paper discusses different procedures for solving the global signal settings and traffic assignment combined problem. We present a stochastic method based on a simulated annealing approach and a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine, and we compare them to other two usual solution procedures. Numerical experiments conducted on a test network show that the Armijo rule can improve the efficiency of PGA significantly.

Solution procedures for the global optimization of signal settings and traffic assignment combined problem / E., Cipriani; Fusco, Gaetano. - STAMPA. - (2002). (Intervento presentato al convegno Third International Conference on Traffic and Transportation Studies tenutosi a Guilin, China nel 23-25, July 2002).

Solution procedures for the global optimization of signal settings and traffic assignment combined problem

FUSCO, Gaetano
2002

Abstract

The paper discusses different procedures for solving the global signal settings and traffic assignment combined problem. We present a stochastic method based on a simulated annealing approach and a Projected Gradient Algorithm (PGA), which uses the Armijo rule for the step size estimation routine, and we compare them to other two usual solution procedures. Numerical experiments conducted on a test network show that the Armijo rule can improve the efficiency of PGA significantly.
2002
Third International Conference on Traffic and Transportation Studies
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Solution procedures for the global optimization of signal settings and traffic assignment combined problem / E., Cipriani; Fusco, Gaetano. - STAMPA. - (2002). (Intervento presentato al convegno Third International Conference on Traffic and Transportation Studies tenutosi a Guilin, China nel 23-25, July 2002).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/202407
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