Decision Support System for evacuation planning: supply, assignment and routing Giuseppe Musolino, Antonio Polimeni, Antonino Vitetta, [email protected], [email protected], [email protected]UNIVERSITÀ DEGLI STUDI MEDITERRANEA DI REGGIO CALABRIA Dipartimento di Informatica, Matematica, Elettronica e Trasporti Facoltà di Ingegneria Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale 13 - 15 September 2010, Potenza - Italy 13 - 15 September 2010, Potenza - Italy
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Decision Support Systems for evacuation planning: supply, assignment and routing, di Giuseppe Musolino, Antonio Polimeni, Antonino Vitetta
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Decision Support System for evacuation planning: supply, assignment and routing
Giuseppe Musolino, Antonio Polimeni, Antonino Vitetta,
UNIVERSITÀ DEGLI STUDI MEDITERRANEA DI REGGIO CALABRIADipartimento di Informatica, Matematica, Elettronica e Trasporti
Facoltà di Ingegneria
Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e TerritorialeSesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale13 - 15 September 2010, Potenza - Italy13 - 15 September 2010, Potenza - Italy
STRUCTURE OF THE PRESENTATIONSTRUCTURE OF THE PRESENTATION
I. INTRODUCTION
II. DECISION SUPPORT SYSTEM (DSS)
III. APPLICATION
IV. CONCLUSION
3Progetto Progetto SICUROSICURO
STRUCTURE OF THE PRESENTATIONSTRUCTURE OF THE PRESENTATION
I. INTRODUCTION
II. DECISION SUPPORT SYSTEM (DSS)
III. APPLICATION
IV. CONCLUSION
4Progetto Progetto SICUROSICURO
Natural Man-made
DANGEROUS EVENT
Introduction
5Progetto Progetto SICUROSICURO
DANGEROUS EVENT EVOLUTION
t0 emergency planning activities start
t1 occurrence of forthcoming disaster is notified or supposed forecasted
t2 event occurs and starts its effects
t3 system vulnerability starts to change
t4 system vulnerability stops changing
IntroductionDANGEROUS EVENT
6Progetto Progetto SICUROSICURO
Emergency ConditionsOrdinary
Conditions OrdCond
•evacuation procedures
identification
•evacuation procedures
simulation
•evacuation procedures
validation
•evacuation procedures
organization
•evacuation procedures
execution
OPERATIVE STAGE
EVACUATION
PLANNING
ApplicationACTIVITIES IN RESPONSE TO DANGEROUS EVENT
7Progetto Progetto SICUROSICURO
tA first evacuated vehicle departure time
tP last evacuated vehicle arrival time
tA tPt1 t4t0
time
t3
EVACUATION CAN’T START
RESIDUAL RISK
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
8Progetto Progetto SICUROSICURO
tA tPt1 t4
t0
time
t3tP
II TARGET minimize tp - taI TARGET ta , tp < t3
tA first evacuated vehicle departure time
tP last evacuated vehicle arrival time
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
9Progetto Progetto SICUROSICURO
PROBLEM
Introduction
path choice
ACTIVITIES IN RESPONSE TO DANGEROUS EVENT
10Progetto Progetto SICUROSICURO
path choice
driver
external authority
PROBLEM DECISION MAKER
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
11Progetto Progetto SICUROSICURO
path choice
driver
external authority
PROBLEM DECISION MAKER SUPPORT
driver’s experience GPS navigator
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
12Progetto Progetto SICUROSICURO
path choice
driver
external authority
PROBLEM DECISION MAKER SUPPORT
driver’s experience GPS navigator
DSS(Decision Support System)
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
13Progetto Progetto SICUROSICURO
path choice
driver
external authority
PROBLEM DECISION MAKER SUPPORT
driver’s experience GPS navigator
DSS(Decision Support System)
and Tools
IntroductionACTIVITIES IN RESPONSE TO DANGEROUS EVENT
14Progetto Progetto SICUROSICURO
Introduction
DSS
EVACUATION PLANNING OPERATIVE STAGE
15Progetto Progetto SICUROSICURO
Introduction
DSS
EVACUATION PLANNING OPERATIVE STAGE
LITERATURE REVIEW
DSS FOR SUPPLY- DEMAND DSS FOR PATH/ROUTE
16Progetto Progetto SICUROSICURO
ORDINARY CONDITIONS
DYNAMIC PROCEDURES
TEMPORAL SYSTEM EVOLUTION
•Peak hours•Temporary over-saturation phenomena•Queues formation and dispersion•Driver behaviour (microscopic approach)o on link
• acceleration• speed• lane-changing
o at node• gap-acceptance
o on network• path choice
SUPPLY-DEMAND INTERACTION
STATIC PROCEDURES
STATIONARY CONDITIONS
•Constant demand•Constant supply
Introduction
SUPPLY-DEMAND
17Progetto Progetto SICUROSICURO
EMERGENCY CONDITIONS
DYNAMIC PROCEDURES
TEMPORAL SYSTEM EVOLUTION
•Peak hours•Temporary over-saturation phenomena•Queues formation and dispersion•Driver behaviour (microscopic approach)o on link
• acceleration• speed• lane-changing
o at node• gap-acceptance
o on network• path choice
SUPPLY-DEMAND INTERACTION
STATIC PROCEDURES
STATIONARY CONDITIONS
•Constant demand•Constant supply
Introduction
SUPPLY-DEMAND
18Progetto Progetto SICUROSICURO
EMERGENCY CONDITIONS
DYNAMIC PROCEDURES
TEMPORAL SYSTEM EVOLUTION
•Peak hours•Temporary over-saturation phenomena•Queues formation and dispersion•Driver behaviour (microscopic approach)o on link
• acceleration• speed• lane-changing
o at node• gap-acceptance
o on network• path choice
SUPPLY-DEMAND INTERACTION
Departure time schedule
Supply modifications
Introduction
SUPPLY-DEMAND
19Progetto Progetto SICUROSICURO
Introduction
• ONE TO MANYONE TO MANY
• ONE TO ONEONE TO ONE
(Vehicle Routing Problem)
(Shortest Path Problem)
The path design problem for emergency vehicle in road evacuation (during a dangerous event) to take weak users, is faced with two approaches:
PATH / ROUTE DESIGN
20Progetto Progetto SICUROSICURO
STRUCTURE OF THE PRESENTATIONSTRUCTURE OF THE PRESENTATION
I. INTRODUCTION
II. DECISION SUPPORT SYSTEM (DSS)
III. APPLICATION
IV. CONCLUSION
21Progetto Progetto SICUROSICURO
USER NEEDS
•Indicators o link o demand-supplyo evolution indicators •Input needs o key parameters user-definedo integration with other modelso integration with other DB and GIS o graphical network buildero graphical animation of results•ITS functionso signal optimizationo ramp metering o variable message signs
MODELLING FEATURES
•Modelling traffic assignmento static o dynamic (macro, meso, micro)
•Cost function specification o fixed o different given alternatives o user defined•Demand-supply interactiono path-choice (pre-trip, en-route, stochastic, deterministic)o assignment (network loading, user equilibrium, system optimum, within day dynamic)
DSS
Decision Support System (DSS)
SUPPLY-DEMAND
22Progetto Progetto SICUROSICURO
DSS L1 L2 L3 L4 DS1 DS2 DS3 DS4 DS5 E1 E2
Emme/2 X X X -- X X X X -- -- --
TransCAD X X X -- -- -- X X -- -- --
MT Model X X X -- -- X -- X -- -- --
VISUM X X X -- X X X X X X --
OmniTRANS X X X X -- -- -- -- -- -- --
Cube Avenue X X X X -- -- -- -- X X --
DYNASMART X X X X X X X X X X --
TransModeler X X X X X X X X X -- --
DynaMIT X X -- X -- -- -- X -- -- --
DSS SICURO X X -- X -- -- X X -- X X
AIMSUN X X X X X X X X X X --
INTEGRATION X X X -- X X X X X X X
MITSIMLab X X -- -- X X X X X -- --
PARAMICS X X X X -- -- -- -- -- -- --
VISSIM X X X X X X X X X -- --
Decision Support System (DSS)
SUPPLY-DEMAND: user needs indicators
LINK INDICATORS: L1=flow, L2=average speed, L3=flow/capacity, L4=queue length; DEMAND-SUPPLY INTERACTION INDICATORS: DS1=average travel distance per vehicle, DS2=total travel distance, DS3=average travel time per vehicle, DS4=total travel time, DS5=average speed on the network; SYSTEM EVOLUTION INDICATORS: E1=number of vehicles on the network, E2=number of vehicles that reach each destination; --=not-available or not-stated
23Progetto Progetto SICUROSICURO
DSS L1 L2 L3 L4 DS1 DS2 DS3 DS4 DS5 E1 E2
Emme/2 X X X -- X X X X -- -- --
TransCAD X X X -- -- -- X X -- -- --
MT Model X X X -- -- X -- X -- -- --
VISUM X X X -- X X X X X X --
OmniTRANS X X X X -- -- -- -- -- -- --
Cube Avenue X X X X -- -- -- -- X X --
DYNASMART X X X X X X X X X X --
TransModeler X X X X X X X X X -- --
DynaMIT X X -- X -- -- -- X -- -- --
DSS SICURO X X -- X -- -- X X -- X X
AIMSUN X X X X X X X X X X --
INTEGRATION X X X -- X X X X X X X
MITSIMLab X X -- -- X X X X X -- --
PARAMICS X X X X -- -- -- -- -- -- --
VISSIM X X X X X X X X X -- --
Decision Support System (DSS)
SUPPLY-DEMAND: user needs indicators
LINK INDICATORS: L1=flow, L2=average speed, L3=flow/capacity, L4=queue length; DEMAND-SUPPLY INTERACTION INDICATORS: DS1=average travel distance per vehicle, DS2=total travel distance, DS3=average travel time per vehicle, DS4=total travel time, DS5=average speed on the network; SYSTEM EVOLUTION INDICATORS: E1=number of vehicles on the network, E2=number of vehicles that reach each destination; --=not-available or not-stated
24Progetto Progetto SICUROSICURO
DSS L1 L2 L3 L4 DS1 DS2 DS3 DS4 DS5 E1 E2
Emme/2 X X X -- X X X X -- -- --
TransCAD X X X -- -- -- X X -- -- --
MT Model X X X -- -- X -- X -- -- --
VISUM X X X -- X X X X X X --
OmniTRANS X X X X -- -- -- -- -- -- --
Cube Avenue X X X X -- -- -- -- X X --
DYNASMART X X X X X X X X X X --
TransModeler X X X X X X X X X -- --
DynaMIT X X -- X -- -- -- X -- -- --
DSS SICURO X X -- X -- -- X X -- X X
AIMSUN X X X X X X X X X X --
INTEGRATION X X X -- X X X X X X X
MITSIMLab X X -- -- X X X X X -- --
PARAMICS X X X X -- -- -- -- -- -- --
VISSIM X X X X X X X X X -- --
Decision Support System (DSS)
SUPPLY-DEMAND: user needs indicators
LINK INDICATORS: L1=flow, L2=average speed, L3=flow/capacity, L4=queue length; DEMAND-SUPPLY INTERACTION INDICATORS: DS1=average travel distance per vehicle, DS2=total travel distance, DS3=average travel time per vehicle, DS4=total travel time, DS5=average speed on the network; SYSTEM EVOLUTION INDICATORS: E1=number of vehicles on the network, E2=number of vehicles that reach each destination; --=not-available or not-stated
25Progetto Progetto SICUROSICURO
DSS L1 L2 L3 L4 DS1 DS2 DS3 DS4 DS5 E1 E2
Emme/2 X X X -- X X X X -- -- --
TransCAD X X X -- -- -- X X -- -- --
MT Model X X X -- -- X -- X -- -- --
VISUM X X X -- X X X X X X --
OmniTRANS X X X X -- -- -- -- -- -- --
Cube Avenue X X X X -- -- -- -- X X --
DYNASMART X X X X X X X X X X --
TransModeler X X X X X X X X X -- --
DynaMIT X X -- X -- -- -- X -- -- --
DSS SICURO X X -- X -- -- X X -- X X
AIMSUN X X X X X X X X X X --
INTEGRATION X X X -- X X X X X X X
MITSIMLab X X -- -- X X X X X -- --
PARAMICS X X X X -- -- -- -- -- -- --
VISSIM X X X X X X X X X -- --
Decision Support System (DSS)
SUPPLY-DEMAND: user needs indicators
LINK INDICATORS: L1=flow, L2=average speed, L3=flow/capacity, L4=queue length; DEMAND-SUPPLY INTERACTION INDICATORS: DS1=average travel distance per vehicle, DS2=total travel distance, DS3=average travel time per vehicle, DS4=total travel time, DS5=average speed on the network; SYSTEM EVOLUTION INDICATORS: E1=number of vehicles on the network, E2=number of vehicles that reach each destination; --=not-available or not-stated
26Progetto Progetto SICUROSICURO
DSS 1 2 3 4 5
Emme/2 X X X X X
TransCAD -- -- X -- X
MT Model X -- -- -- X
VISUM X X X X X
OmniTRANS X X X X --
Cube Avenue X X X -- X
DYNASMART X X -- -- X
TransModeler X X X -- X
DynaMIT -- X -- -- --
DSS SICURO X -- -- X X
AIMSUN X X X X X
INTEGRATION
X -- -- -- X
MITSIMLab X -- -- -- X
PARAMICS X X -- X X
VISSIM X X X X X
Decision Support System (DSS)
SUPPLY-DEMAND: user needs input
1=Key parameters can be user-defined, 2=Integration with other models, 3=Integration with other databases and Geographic Information System, 4=Graphical Network Builder, 5=Graphical Animation of Results, --=not-available or not-stated
27Progetto Progetto SICUROSICURO
DSS 1 2 3 4 5
Emme/2 X X X X X
TransCAD -- -- X -- X
MT Model X -- -- -- X
VISUM X X X X X
OmniTRANS X X X X --
Cube Avenue X X X -- X
DYNASMART X X -- -- X
TransModeler X X X -- X
DynaMIT -- X -- -- --
DSS SICURO X -- -- X X
AIMSUN X X X X X
INTEGRATION
X -- -- -- X
MITSIMLab X -- -- -- X
PARAMICS X X -- X X
VISSIM X X X X X
Decision Support System (DSS)
SUPPLY-DEMAND: user needs input
1=Key parameters can be user-defined, 2=Integration with other models, 3=Integration with other databases and Geographic Information System, 4=Graphical Network Builder, 5=Graphical Animation of Results, --=not-available or not-stated
OmniTRANS X X X X -- -- -- -- -- -- -- -- -- -- --
Cube Avenue X X -- -- -- -- X -- -- -- -- -- -- -- X
DYNASMART -- X X -- X -- X X -- -- -- -- -- -- X
TransModeler -- -- X -- X -- X -- -- -- X -- -- -- X
DynaMIT X X -- -- X X X X X X -- X -- -- X
DSS SICURO -- -- -- -- -- -- -- -- -- -- X -- -- -- X
AIMSUN X X X X X X X X -- -- -- -- X -- X
INTEGRATION X X X X X -- X X -- X -- X X -- --
MITSIMLab X X X X X -- X X -- -- -- X X -- X
PARAMICS -- X X X X X X X -- -- -- X X -- --
VISSIM -- X X X X X X X -- X X X X -- --
SUPPLY-DEMAND: user needs ITS functions
Decision Support System (DSS)
1=Signal optimization, 2=Co-ordinated traffic signals, 3=Adaptive traffic signals, 4=Priority to public transport vehicles, 5=Ramp metering, 6=Zone access control, 7=Variable message signs, 8=Route guidance, 9=Parking guidance, 10=Public transport information, 11=Support for pedestrians and cyclists, 12=Probe vehicles, 13=Vehicle detectors, 14=Contraflow/lane reversal, 15=Incidents, --=not-available or not-stated
30Progetto Progetto SICUROSICURO
APPROACH: STA=Static Traffic Assignment, meso=mesoscopic Dynamic Traffic Assignment, micro=microscopic Dynamic Traffic Assignment; LINK/NODE: V=cost function specification can be chosen among different given alternatives or it can be user defined, F=cost function specification is fixed, --=not-stated; PATH CHOICE: S=stochastic, D=deterministic, PT=pre-trip, ER=en-route; ASSIGNMENT: NL=network loading, UE=user equilibrium, SO=system optimum, WD=within day dynamic
DSS APPROACHSUPPLY MODEL DEMAND-SUPPLY INTERACTION
LINK NODE PATH CHOICE ASSIGNMENTEmme/2 STA V -- S NL-UE-SOTransCAD STA F -- S, PT NL-UE-SOMT Model STA V -- S-D NL-UEVISUM STA V F S, PT NL-UE-SOOmniTRANS STA V V S-D, PT NL-UECube Avenue meso -- -- S, ER WDDYNASMART meso V V PT-ER WDTransModeler STA
meso-micro V V S, PT UEWD
DynaMIT meso -- -- S, PT WDDSS SICURO meso V -- S-D, PT WDAIMSUN micro F V S-D, PT-ER WDINTEGRATION micro F F D, PT WDMITSIMLab micro V V S, PT-ER WDPARAMICS micro V -- S, PT WDVISSIM micro F F S, PT WD
Decision Support System (DSS)
SUPPLY-DEMAND: modelling features
31Progetto Progetto SICUROSICURO
APPROACH: STA=Static Traffic Assignment, meso=mesoscopic Dynamic Traffic Assignment, micro=microscopic Dynamic Traffic Assignment; LINK/NODE: V=cost function specification can be chosen among different given alternatives or it can be user defined, F=cost function specification is fixed, --=not-stated; PATH CHOICE: S=stochastic, D=deterministic, PT=pre-trip, ER=en-route; ASSIGNMENT: NL=network loading, UE=user equilibrium, SO=system optimum, WD=within day dynamic
DSS APPROACHSUPPLY MODEL DEMAND-SUPPLY INTERACTION
LINK NODE PATH CHOICE ASSIGNMENTEmme/2 STA V -- S NL-UE-SOTransCAD STA F -- S, PT NL-UE-SOMT Model STA V -- S-D NL-UEVISUM STA V F S, PT NL-UE-SOOmniTRANS STA V V S-D, PT NL-UECube Avenue meso -- -- S, ER WDDYNASMART meso V V PT-ER WDTransModeler STA
meso-micro V V S, PT UEWD
DynaMIT meso -- -- S, PT WDDSS SICURO meso V -- S-D, PT WDAIMSUN micro F V S-D, PT-ER WDINTEGRATION micro F F D, PT WDMITSIMLab micro V V S, PT-ER WDPARAMICS micro V -- S, PT WDVISSIM micro F F S, PT WD
Decision Support System (DSS)
SUPPLY-DEMAND: modelling features
32Progetto Progetto SICUROSICURO
APPROACH: STA=Static Traffic Assignment, meso=mesoscopic Dynamic Traffic Assignment, micro=microscopic Dynamic Traffic Assignment; LINK/NODE: V=cost function specification can be chosen among different given alternatives or it can be user defined, F=cost function specification is fixed, --=not-stated; PATH CHOICE: S=stochastic, D=deterministic, PT=pre-trip, ER=en-route; ASSIGNMENT: NL=network loading, UE=user equilibrium, SO=system optimum, WD=within day dynamic
DSS APPROACHSUPPLY MODEL DEMAND-SUPPLY INTERACTION
LINK NODE PATH CHOICE ASSIGNMENTEmme/2 STA V -- S NL-UE-SOTransCAD STA F -- S, PT NL-UE-SOMT Model STA V -- S-D NL-UEVISUM STA V F S, PT NL-UE-SOOmniTRANS STA V V S-D, PT NL-UECube Avenue meso -- -- S, ER WDDYNASMART meso V V PT-ER WDTransModeler STA
meso-micro V V S, PT UEWD
DynaMIT meso -- -- S, PT WDDSS SICURO meso V -- S-D, PT WDAIMSUN micro F V S-D, PT-ER WDINTEGRATION micro F F D, PT WDMITSIMLab micro V V S, PT-ER WDPARAMICS micro V -- S, PT WDVISSIM micro F F S, PT WD
Decision Support System (DSS)
SUPPLY-DEMAND: modelling features
33Progetto Progetto SICUROSICURO
APPROACH: STA=Static Traffic Assignment, meso=mesoscopic Dynamic Traffic Assignment, micro=microscopic Dynamic Traffic Assignment; LINK/NODE: V=cost function specification can be chosen among different given alternatives or it can be user defined, F=cost function specification is fixed, --=not-stated; PATH CHOICE: S=stochastic, D=deterministic, PT=pre-trip, ER=en-route; ASSIGNMENT: NL=network loading, UE=user equilibrium, SO=system optimum, WD=within day dynamic
DSS APPROACHSUPPLY MODEL DEMAND-SUPPLY INTERACTION
LINK NODE PATH CHOICE ASSIGNMENTEmme/2 STA V -- S NL-UE-SOTransCAD STA F -- S, PT NL-UE-SOMT Model STA V -- S-D NL-UEVISUM STA V F S, PT NL-UE-SOOmniTRANS STA V V S-D, PT NL-UECube Avenue meso -- -- S, ER WDDYNASMART meso V V PT-ER WDTransModeler STA
meso-micro V V S, PT UEWD
DynaMIT meso -- -- S, PT WDDSS SICURO meso V -- S-D, PT WDAIMSUN micro F V S-D, PT-ER WDINTEGRATION micro F F D, PT WDMITSIMLab micro V V S, PT-ER WDPARAMICS micro V -- S, PT WDVISSIM micro F F S, PT WD
Decision Support System (DSS)
SUPPLY-DEMAND: modelling features
34Progetto Progetto SICUROSICURO
USER NEEDS MODELLING FEATURES
DSS
Decision Support System (DSS)
simulate the problem for a large number of weak users
ability of the tools to solve theproblem according to its size
PATH/ROUTE DESIGN
generation of optimal sequences of weak users according to several criteria
kind of problem solved by the tools;
possibility to define the link costfunction
travel time estimation for emergency vehicles and network performance
outputs in terms of service and network indicators
low computation time computation time
35Progetto Progetto SICUROSICURO
DSS and Tools: one to one
Kind of problem (B) Tools Software Library
Shortest Path k- Shortest Path
Cost function (C)
Autoroute X X X YES
BGL X X YES
GoodRoute X X X NO
Multi Graph X X NO
Transcad X X X YES
TOOLS NAME
SOFTWARE or LIBRARY
SOLVED PROBLEM
COST FUNCTION DEFINED BY THE USERS
Decision Support System (DSS)
PATH/ROUTE DESIGN
36Progetto Progetto SICUROSICURO
PATH/ROUTE DESIGN
Size of problem (A) Kind of problem (B) Solution Approach Tools Software Library Number
of weak users Number
of vehicles VRP
VRP TW
Other Cost function
(C) Outputs
(D) Exact Heuristic
ArcLogistics X U U X X Yes ND ND ND
Jcell X X ND ND G
JDI X U U X X Yes Yes NSH
JOpt.ASP X U U X X TSP Yes Yes MA
JOpt.J2EE X U U X X TSP Yes Yes MA JOpt.NET X U U X X TSP CVRTW Yes Yes MA JOpt.SDK X U U X X TSP Yes Yes MA
... ... ... ... ... ... ... ... ... ... ... ...
Symphony X X X TSP Yes ND B&C
Transcad X U U X X Yes Yes G
TruckStops X 100 > 5 X Yes ND B&B
WInRoute X X ND ND ND ND
DSS and Tools: one to many
TOOLS NAME
SOFTWARE or LIBRARY
PROBLEM SIZE
SOLVED PROBLEM
COST FUNCTION DEFINED BY THE USERS
ALGORITHM
OUTPUT TYPEU: UnlimitedTSP: Travelling Salesman ProblemCVRTW: Capacitated Vehicle Routing Problem with Time WindowsND: Non-definedB&B: Branch & Bound; B&C: Branch & CutG: Genetic; MA: Memetic AlgorithmTS: Tabù Search; NSH: Non-specified heuristic
Decision Support System (DSS)
37Progetto Progetto SICUROSICURO
STRUCTURE OF THE PRESENTATIONSTRUCTURE OF THE PRESENTATION
UNIVERSITÀ DEGLI STUDI MEDITERRANEA DI REGGIO CALABRIADipartimento di Informatica, Matematica, Elettronica e Trasporti
Facoltà di Ingegneria
Sesta Conferenza Nazionale in Informatica e Pianificazione Urbana e TerritorialeSesta Conferenza Nazionale in Informatica e Pianificazione Urbana e Territoriale13 - 15 September 2010, Potenza - Italy13 - 15 September 2010, Potenza - Italy