Signal Setting In An Urban Area:
A Procedure With Day-to-day Dynamic And
Stability Constraints
Author(s)
G. E. Cantarella, P. Velonà & A. Vitetta
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.
Keywords: signal setting, traffic control, day-to-day dynamic.
1 Introduction
This paper deals with the design of signal setting in urban areas. This problem
can not be solved without considering the user behaviour at least at route choice
level. The resulting problem belongs to the class of problem of transportation
supply design with assignment [1–4].
Two main approaches have been proposed with respect to the method for
demand assignment (with probabilistic path choice behaviour): equilibrium
assignment, effectively approached by fixed-point models; day-to-day dynamic
process models, derived from time-discrete non-linear dynamic system theory.
Keywords
signal setting, traffic control, day-to-day dynamic.
Related Book
Other papers in this volume
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