1. The behavioural rules in Multi Agent Systems: a “not a toy” approach Alessandra LAPUCCI M assimiliano PETRI Diana POLETTI L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali University of Pisa, Department of Civil Engineering [m.petri, alessandra.lapucci, diana.poletti]@ing.unipi.it
2. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali The starting point A first award
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6. Why sequential Activity-Based model ? The Case Study The Activity-Based Model L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Morning act. diary pattern Afternooon act. diary pattern Evening act. diary pattern
7. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Region : Tuscany (Italy) City : Pisa Residents : approximately 82.000 Surface : 7600 hectares A) The Environment in“City-Live” The Study Area
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9. City-Live Population Survey Two different City Users Commuters Universe: the commuters working in the activity with more than 20 employees (source: firm direct contact) Sample: based on a spatial accessibility and homogeneity criteria Residents Universe: the total residents in the Census Areas selected (source: Statistical National Agency) Sample: a two-steps sample method Residents Commuters Pisa city centre Pisa city center Arrival points Residents Activities Commuters Activities
10. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index Road Network (with one-way) Census Area centroids
11. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index Gravitational Potential PG a = k j Σ j M j / d aj α where PGa = Gravitational Potential fotr the Census Area a Kj = Census Area j weight Mj = Number of emplyees in the Census Area j daj = Distance between a and j calculated on the Network alfa = distance sensitiveness We use this index to create Census Area Clusters based on homogeneous accessibility criteria
12. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Accessibility index
13. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Questionnaire Structure 2 – Daily Activities: Activity Type (14); Start/End Activity Period; Activity Localization; Activity Duration; Transportation Means; Reason for Choosing or not Public Transports ( specifically requested from Pisa Province ) Trip Time; Planning Moment; Accompainment Possibility (number of people). Questionnaire Structure 3 – Individual preferences : Preferred transport means Used transport means Judgements about urban services … Questionnaire Structure City-Live Population Survey Questionnaire Structure 1 – Personal Data: Class (commuter, domiciled or resident); Residence/Arrival area in Pisa; Sex; Age Band; Civil Status; Number of Transfers; Single Component Occupation; Individual Salary Range; Educational Qualification; Number of Family Components; Family Composition; Head of a family Age; Number of Children in the Family; Driving Licence Number in the Family; Car Numerousness in the Family. Individual Data Family Data
14. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Questionnaire Structure City-Live Population Survey
15. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey The web site
16. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Personal data survey The web site
17. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Activity diary data web-GIS For clients with editing not allowed (administrations, firms, etc..) The web site For clients with allowed editing (sample)
18. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live Population Survey Questionnaire: results Legend Residence Arrival com. Activity Travel by car Travel by bike Travel by bus Travel on foot Activity duration Time axis Ore 12.30-14.00
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20. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali Examples: Which choice is made first in the model? Which transport means do an individual choose? At what time does the activity start? … . Knowledge Discovery in Databases Knowledge Extraction for Model Building City-Live C) The Rules Sample Survey : Questionnaires Survey Use - 2
21. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali City-Live : C) The Rules Example: Survey & KDD Decision Tree IF .. THEN .. Rules
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23. L.I.S.T.A. – Laboratorio di Ingegneria dei Sistemi Territoriali e Ambientali THE END Alessandra Lapucci [email_address] M assimiliano Petri [email_address] Diana Poletti [email_address] University of Pisa Department of Civil Engineering Thank you !!
Editor's Notes
The research i’m going to present is an attèmpt to build an operational Multi Agent System not a spatial simulation toy