In recent years we are witnessing a growing interest in the analysis of pedestrian dynamics. Nowadays architecture design must aim to identify constraints and requirements requested by pedestrian mobility to satisfy the pedestrian flows related to the infrastructure of nodal infrastructure - such as train stations, subways, airports - as well as any civil complex that may gather notable pedestrian flows – city malls, theatres, meeting rooms, skyscrapers - and urban elements such as shopping streets, main important squares, pedestrian flows in case of exceptional events, etc. In order to create an instrument to support technicians into pedestrian terminal projects and optimum layout definition according transport needs, an interesting approach was developed. Starting from analytical background for facilities dimensional range definition, through pedestrian dynamics modelling and cost objective function definition the application of genetic algorithm combined with social force models allow to identify domain of optimum solution compatible with pedestrian needs
GENETIC ALGHORITMS TO OPTIMUM PEDESTRIAN TERMINAL LAYOUT DEFINITION
GIACOMINI, CRISTIAN;LONGO, GIOVANNI
2014-01-01
Abstract
In recent years we are witnessing a growing interest in the analysis of pedestrian dynamics. Nowadays architecture design must aim to identify constraints and requirements requested by pedestrian mobility to satisfy the pedestrian flows related to the infrastructure of nodal infrastructure - such as train stations, subways, airports - as well as any civil complex that may gather notable pedestrian flows – city malls, theatres, meeting rooms, skyscrapers - and urban elements such as shopping streets, main important squares, pedestrian flows in case of exceptional events, etc. In order to create an instrument to support technicians into pedestrian terminal projects and optimum layout definition according transport needs, an interesting approach was developed. Starting from analytical background for facilities dimensional range definition, through pedestrian dynamics modelling and cost objective function definition the application of genetic algorithm combined with social force models allow to identify domain of optimum solution compatible with pedestrian needsPubblicazioni consigliate
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