A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Participative Multi Agent System for Urban Sustainable Mobility
The current research deals with the development of a Multi Agent System able to analyse and simulate the dynamics of urban system sustainable mobility as derived from millions of choices performed by the individuals belonging to the system itself. In this research an Activity Based Model is devised in order to reconstruct urban mobility. With the objective to perform a dynamic decision support system for the comprehension of phenomena influencing mobility at urban scale, this research tries to gather in the model both the territorial features, by the construction of a detailed spatial database able to contain all the services the city offers, and the direct extraction of citizens behavioural rules from survey data by Artificial Intelligence tools. To this end the population sample questionnaire structuring, the “temporal” geodatabase construction and the agents behavioural rules extraction, via two different Data Mining techniques, represent the most relevant innovations experimented till now.
A Participative Multi Agent System for Urban Sustainable Mobility
The current research deals with the development of a Multi Agent System able to analyse and simulate the dynamics of urban system sustainable mobility as derived from millions of choices performed by the individuals belonging to the system itself. In this research an Activity Based Model is devised in order to reconstruct urban mobility. With the objective to perform a dynamic decision support system for the comprehension of phenomena influencing mobility at urban scale, this research tries to gather in the model both the territorial features, by the construction of a detailed spatial database able to contain all the services the city offers, and the direct extraction of citizens behavioural rules from survey data by Artificial Intelligence tools. To this end the population sample questionnaire structuring, the “temporal” geodatabase construction and the agents behavioural rules extraction, via two different Data Mining techniques, represent the most relevant innovations experimented till now.
A Participative Multi Agent System for Urban Sustainable Mobility
Murgante, Beniamino (editor) / Borruso, Giuseppe (editor) / Lapucci, Alessandra (editor) / Lapucci, Alessandra (author) / Lombardo, Silvana (author) / Petri, Massimiliano (author) / Rotonda, Marco (author)
2009-01-01
25 pages
Article/Chapter (Book)
Electronic Resource
English
Multi Agent System , GIS , Artificial Intelligence , Urban Mobility Geography , Geographical Information Systems/Cartography , Urban Geography / Urbanism (inc. megacities, cities, towns) , World Regional Geography (Continents, Countries, Regions) , Mathematical and Computational Engineering , Landscape/Regional and Urban Planning , Artificial Intelligence , Engineering
A Participative procedure to select indicators of sustainable urban mobility policies
| BASE | 2009
| British Library Online Contents | 2002