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PROJECTIDEA:ANINTEGRATEDFRAMEWORKFORACONTEXT-AWAREMOBILITY
AMIRABENHAMIDAIRTSYSTEMX
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Researchprojets
83 24
Partners
Industrialpartners
Academiclaboratories
23projectsongoingand13projectscompleted
130
IndustrialfinancingFinance
M€
FrenchResearchNationalAgency
100researchers-engineers,30doctoralstudents
Researchers-engineersanddoctoralstudents
SystemX Technological Research Institute
1
DatascienceandInteraction
ScientificComputation&Optimization
Systems&SoftwareEngineering
InfrastructureandNetworks
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Howtooffertoeachpassengeradoor-2-doortransportthatisgreener,faster,cheaper,withfewwalkingdistance,withshops,
withoutshops,etc?
Howtoreduce(asmuchaspossible)infrastructurecostandenergyconsumption?
Numbers
Objectives
8%ofrailpassengersgrowthperyearinEU
+44%ofpassengersgrowthduringsummer
holidays2017
1043millionspassengers2017
Manymobilityconstraints
Manymobilitypreferences
Demand-driven
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EnergySupply
Multi-ModalTransport
PassengersFlows
Holidays Weather UserHabits
ContextAnomalies/events
impacts
impacts
Weathercanbeforecasted
EnergySupplycanbesecured
Eventscanbeaddressed
UserHabitscanbeidentified
Infrastructurecanbeadapted
Itinerariescanbeupdated
SensorsandMeteringHistoricalandreal-timedata
Observation:AcomplexandMulti-layeredSystem
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Project:AnIntegratedFrameworkforaContext-awareMobility
5 5
Providinganinteroperablemiddlewarethatensuresacommonmodelcommunication
betweenservicesanddatasources.
Asmartgridmodelthatincludesoptimizationtechniquesfortheenergymix.
Asetofanalyticalgorithmsasawellasapassengerprofilemodeltorecommendadapted
context-awareandmulti-criteriaitineraries.
IP3FUTURETRACTIONPOWERSUPPLYFORRAILWAYSANDPUBLICTRANSPORT
IP4COMPLEMENTARYTRAVELEXPERTSERVICES
IP2SUPPORTTODEVELOPMENTOFDEMONSTRATORPLATFORMFORTRAFFICMANAGEMENT
Ourprojectaimsatprovidingacontext-awaremobilitythatconsidersallthecollecteddatafromsensors,meters,weatherforecasts,energygeneration,flowmeasurementtodesignanintegratedsolutionfederatingfivemainactors:• Energyutilitiesformanagingtheenergy-mixforrailwaypowersupply:renewableenergyproductionis
forecastedtoanticipatepeaksofpassengersandtoalign(permanentandpunctual)energy(aheadoftimeandreal-time).
• Powergridsystemoperators:InvestinnewtechnologiestomaximizeinfrastructureROIandefficiency.• Transportsystemoperators:Networkplanningiscomputedbasedonpassengerflowsandrenewableenergy
generation(long-term).Theycanbeupdated(inshort-termtoreal-time)totakeintoaccountchangesinpredictionsandspecialevents.
• Mobilityserviceprovidersandpassengers:Passengerscanberecommendedeachacustomizeditinerary.Passengerscanbereroutedtootherpathswithoutloosingcomfort,astheirbehaviorislearntthankstointeractivemachinelearning.
Theconsortiumshouldincludemobilityoperators,energyutility,technologicalserviceproviders,..
Multi-criteriaoptimizationforcustomizedpaths
Micro-servicesbasedsoftwarearchitecture
Heterogeneouscollecteddatafrompassengers,stations,trains,events,sensors,...
InteractiveMLforidentifyingusertravelpreferences Mobilitynetworkutilizationandinvestmentoptimization
Unsupervisedlearningforidentifyinguserhabits
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Realization:Howcanweimplementthisproject?
Heterogeneouscollecteddatafrompassengers,energy,stations,trains,energy,events,sensors,...
Simulation MachinelearningMono/multi
criteriaoptimization
Micro-servicessoftware
archite
cture Supervised Unsupervised Interactive
Improvemobilitynetwork
supervisionandplanning
Customizedtravelpaths
Identifyinguserprofiles
Identifyingusertravel(weighted)preferences
PermanentTeam21Datascienceandinteraction,8ScientificComputationandOptimization8SystemandSoftwareEngineering
HubConnectiontoahubofpartners,cities,academicandindustrialindigital,energy,andtransportfields.
BackgroundSeveralResearchandInnovation3ongoingProjectsinMobility,2Energy,2autonomousvehicles,..
EuropeanProjectsSeveralH2020EuropeanProjects,In2Rail,Holiship,TOICA,..
Multi-modaltransportation
Powergrid
Maximizepowergrid
infrastructureROIandefficiency
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