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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
Simulation Platform for ATIS contexts
Anticipatory Route-guidance problems in dynamic and accurate
ATIS contexts
Fully Adaptive ADAS
Driving Behaviour Studies
Driving Simulation
} ATIS (Advanced Traveller Information Systems) ◦ The information value chain
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
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
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
• 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)
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
} 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
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Spac
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(m)
Time (s)
Spacing as Desired Imposed Spacing
} 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)
} 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
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
} 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
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 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: [email protected]
