In this paper, we discuss 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.
Cipriani, E., Fusco, G. (2002). Solution procedures for the global optimization of signal settings and traffic assignment combined problem. In Proceedings of the conference on Traffic and Transportation Studies, ICTTS (pp.833-840).
Solution procedures for the global optimization of signal settings and traffic assignment combined problem
CIPRIANI, ERNESTO;
2002-01-01
Abstract
In this paper, we discuss 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
