In this paper a model and a procedure for signal setting design with demand assignment are reported. The model is developed within a day-to-day dynamic framework where demand assignment is dealt with through deterministic (or stochastic) process models. The system of models, based on a what-to approach, generates signal timings taking into account users path choice behaviour as well as stability constraints. The main contribution in this paper is the specification of the heuristic procedure for signal setting optimization, based on genetic algorithm. The procedure is tested on a real scale test site with the objectives to validate the system of models and the optimization procedure. A sensitivity analysis with respect to demand level is also briefly discussed.
Signal setting in an urban area: a procedure with day-to-day dynamic and stability constraints.
CANTARELLA, Giulio Erberto;
2011-01-01
Abstract
In this paper a model and a procedure for signal setting design with demand assignment are reported. The model is developed within a day-to-day dynamic framework where demand assignment is dealt with through deterministic (or stochastic) process models. The system of models, based on a what-to approach, generates signal timings taking into account users path choice behaviour as well as stability constraints. The main contribution in this paper is the specification of the heuristic procedure for signal setting optimization, based on genetic algorithm. The procedure is tested on a real scale test site with the objectives to validate the system of models and the optimization procedure. A sensitivity analysis with respect to demand level is also briefly discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
