In this paper models and algorithms for the optimization of signal settings on urban networks are proposed. Two different approaches to the solution of the problem may be identified: a global approach (optimization of intersection signal settings on the whole network) and a local approach (optimization of signal settings intersection by intersection). For each approach a different optimization model and some solution algorithms are proposed; both models and algorithms are based on the assumptions of within-day static system and stochastic user equilibrium assignment models. The paper includes numerical results on test networks and a comparison between the two approaches.
|Titolo:||Models and Algorithms for the Optimization of Signal Settings on Urban Networks with Stochastic Assignment|
|Data di pubblicazione:||2006|
|Appare nelle tipologie:||1.1 Articolo in rivista|