intelligent transportation systems (its) · intelligent transportation systems (its)} why is its...
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Intelligent Transportation Systems (ITS)
} Why is ITS central in TRG’s research strategy
Opportunities
• Improving (with minor expenditure and for passengers and goods): • Efficiency • Control • Safety and security • Sustainability • Quality (Travelling/Driving
users’ experience)
• Development of new concepts, products, tools • Technological • Modelling (transp. Systems
modelling/design in ITS contexts)
ITS Res. Funding
• Horizon 2020 • Industrial Leadership
(ICT) • Societal Challenges
(Smart Green Integrated Transport)
ITS Market
• Estimated in 4,000 millions of euro/year (in Europe) • Growing 15% year
gennaro.bifulco@unina.it 2
Simulation Platform for ATIS contexts
Anticipatory Route-guidance problems in dynamic and accurate
ATIS contexts
Fully Adaptive ADAS
Driving Behaviour Studies
Driving Simulation
gennaro.bifulco@unina.it 3
} ATIS (Advanced Traveller Information Systems) ◦ The information value chain
gennaro.bifulco@unina.it 4
Static Instantaneous Predictive Accurate
Mainly Technological Mainly Transportation Theory
ATIS are transportation
services
TRG people are transportation
services experts
Innovative approaches
and methodologies
(not only technology) in
ATIS
} Any transportation service requires a proper modelling/simulation platform
gennaro.bifulco@unina.it 5
Unified Theory
• Proposed solutions (few) are often not general / not robust • It is needed a doubly dynamic traffic assignment approach • ... and ... (to deal with accurate ATIS)
Compliance Role
• Compliance to information has to be treated as an endogenous variable (not acceptable as a model parameter)
• Compliance should depend on information accuracy / reliability
Information accuracy
• In congested networks (practically significant cases) an accuracy model has to be developed
• The accuracy model and the elastic compliance allow to solve the “anticipatory route guidance” problem
Issues addressed by the proposed sim
ulation platform (up
to accurate ATIS)
} The ATIS simulation framework allows for resolution of the anticipatory route guidance problem
gennaro.bifulco@unina.it 6
ATIS influences travel choices of compliant
travellers
Travel choices influence network
performances (congestion)
Prevailing and predicted network
performances allow for predictive ATIS
Prediction influence information design
(ATIS)
Time-machine paradox: if knowledge of the future is used in today choices, the future will change Ac
cura
te A
TIS
gennaro.bifulco@unina.it 7
• In car-following conditions • The speed of the controlled/assisted vehicle be limited by the actual
(dynamically computed) safe-speed • Drivers preferences and driving style/behaviour are not taken into account
State of art ACC are such that
• Different drivers can prefer different behaviours (so different dynamically applied speeds), all of them compliant of the actual safe-speed
By real world observation
• Should also incorporate (integrate with safety logic) more human-like speed control logics
A fully adaptive ACC (adaptive also to drivers’ preferences)
gennaro.bifulco@unina.it 8
Instrumented vehicle and software tool for ADAS experiments
ADAS @ TRG
ADAS relate to driving
behaviours
TRG’s skill on
simulation of travel
behaviours TRG’s skill in traffic
flow simulation
gennaro.bifulco@unina.it 9
} Experiments carried out by using (also) the instrumented vehicle have shown that it worth (and is feasible) developing a human-like fully adaptive ACC system
20
30
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60
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630.0 830.0 1030.0 1230.0 1430.0 1630.0
Spac
ing
(m)
Time (s)
Spacing as Desired Imposed Spacing
gennaro.bifulco@unina.it 10
} Big Data sets with many hours of recorded driving behaviours } Still to be fully analysed and exploited } Integration of models for reproducing observed data in simulation
platforms ◦ Prescan https://www.tassinternational.com/prescan ◦ Simulink/Matlab http://www.mathworks.it/products/simulink/ ◦ Scaner/Oktal http://www.scanersimulation.com/
} Adopted approach ◦ Integration of
� Model In the Loop (MIL) � Software In the Loop (SIL) � Hardware In the Loop (HIL) � Driver In the Loop (DIL)
gennaro.bifulco@unina.it 11
} 3 x flat screens (3.00m×4.00m) + high-res projectors
} Cockpit is one half real Citroen C2 ◦ two adjustable seats ◦ fully equipped dashboard
} Wheel force feedback system } Six degree-of-freedom electric motion hexapod
gennaro.bifulco@unina.it 12
Be a partner for a research bid in the ITS/ICT field
Stay tuned for Horizon
2020
Understand common research interests
Establish “ITS”
contacts
} The ITS group promotes (at a national level) the establishment of LAERTE (Laboratory for Advanced Experiments on Road and Transportation Environments) ◦ Institute entirely devoted to ITS applications ◦ Open to international research teams and institutions
} Composed by ◦ Research Laboratories
� Transportation system laboratory � Laboratory for innovation in research tools � ATIS laboratory � ADAS laboratory (including virtual reality and driving simulators) � Laboratory for the application of mixed-reality in transportation � Tracing/Tracking/Localization laboratory (including RFID and sensor networks) � Laboratory for seamless connection and its use in transportation � On-the-field laboratory
◦ Technical Service centres � Automotive; � Electronic devices and control systems � Telecommunication devices and systems � Informatics, software, middleware and system integration platforms
gennaro.bifulco@unina.it 13
} A first part of LAERTE has been already financed by the Italian Ministry of research ◦ Living-lab ◦ Strongly controlled (15 traffic control stations in 2 Km) ◦ V2V and V2I communication (802.11p) ◦ Traffic Monitoring cameras ◦ 50 nodes Wireless Sensor Network based on ZigBee
} Deeper information on the LAERTE ITS test-bed available on demand
gennaro.bifulco@unina.it 14
gennaro.bifulco@unina.it 15
Contact us for joint
researches
If interested in our approach to ITS
And/OrIf interested in short/medium/long term
cooperation opportunities
And/OrIf you judge to be
interested in Horizon 2020 consortia
gennaro.bifulco@unina.it 16
} Gennaro Nicola (Cino) Bifulco, PhD ◦ Associate Professor ◦ Theory of Transportation Systems
◦ University of Naples “Federico II” ◦ Building 5, Via Claudio 21, I80125 Napoli (Italy) ◦ Phone: +39 081 76 83883 ◦ Mob.: +39 347 3618908 ◦ E-mail: gennaro.bifulco@unina.it
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