Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Active Safety Systems
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Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Active Safety Systems






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    Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Active Safety Systems Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Active Safety Systems Presentation Transcript

    • euroFOT: European Large Scale Field Operational Test on In-Vehicle Systems Bringing Intelligent Vehicles to the Road Giancarlo Alessandretti, Angelos Amditis, Aria Etemad, Christoph Kessler Stockholm, ITS 2009
    • Contents • The euroFOT project Objectives, functions, expected results • Highlights for on-going activities Research hypotheses Data acquisition Design of experiment Operation of Vehicle Management Centres Data analysis plan • Lesson learnt and conclusions 2 ITS 2009 Stockholm
    • Why EuroFOT? • Intelligent Vehicles have a large potential for safer, cleaner and more efficient transport solutions • Technologies are mature (several examples in series production) • However, we have limited data on real-life operation and how drivers use the systems in ordinary traffic • This restricts our capabilities to improve the systems, understand their impacts and make the right decisions for deployment 3 ITS 2009 Stockholm
    • euroFOT Objectives • Perform multiple coordinated tests of Intelligent Vehicle Systems with ordinary drivers in real traffic • Investigate performance, driver behaviour and user acceptance • Assess the impacts on safety, efficiency and the environment, based on road data 4 ITS 2009 Stockholm
    • euroFOT Objectives (2) • Consolidate a common European approach for FOTs • Improve public awareness on the potentialities of driver support functions 5 ITS 2009 Stockholm
    • Functions under test 6 ITS 2009 Stockholm
    • Exposures in different FOTs Volvo trucks 16 FOT duration (months) trucks Freightliner 2001 cars 100 car EuroFOT 2004 12 Mach 2005 euroFOT- trucks only 8 Australia 2005 Isa_UK 2007 Ass.driver NL_2006 4 Within euroFOT: Within euroFOT: ~18,5 Mil. km ~18,5 Mil. km ACAS RDCW – 2005 2004 ICC 1997 0 1 10 100 1000 Nr. vehicles 7 ITS 2009 Stockholm
    • The challenges.... • Wide range of driving conditions • Extraction of meaningful use cases / driving scenarios for the equipment under test • Transferable and harmonized methods Europe-wide • Data quality assurance • Privacy and legal issues 8 ITS 2009 Stockholm
    • .... and the euroFOT approach • Well developed ADAS and sensors on vehicles • Reliable Data Acquisition systems based on partners’ experience • Harmonised research questions / hypotheses for all fleets • Common definition of scenarios and performance indicators: specific approaches when necessary • Framework of guidelines for the operation of the different Vehicle Management Centres 9 ITS 2009 Stockholm
    • Project plan 10 ITS 2009 Stockholm
    • Highligths for on-going activities 11 ITS 2009 Stockholm
    • Harmonised requirements for systems and functions The FESTA methodology has been applied: • Approx. 250 hypotheses examined • 84 hypotheses prioritised • Main relevance: 44% safety, 46% driver, 10% environment • 5 Combinations of functions 12 ITS 2009 Stockholm
    • Research Questions & Hypotheses (example) • A research question is general, and has a question mark: Does FCW decrease incidents? • Hypotheses are either true or false FCW reduces occurence of decelerations above 5 m/s2 • Hypotheses can only be tested by means of reasonable indicators • Hypotheses are statistically testable • euroFOT examined >100 hypotheses for FCW/ACC (only top-hypotheses selected) 13 ITS 2009 Stockholm
    • Data Acquisition Systems Three types of Data Acquisition Systems are considered: • CAN only  basic functionality for vehicle data and GPS • CAN + video  cameras will record both the road and the driver • CAN + video + extra sensors  some vehicles equipped with radar/lidar, head/eye trackers and other sensing devices GPS & GPRS Antennas multipurpose camera OR data logger accelerometer ECU OBD ECU radar connector Vehicle CAN bus ECU ECU Standard with vehicle Mandatory part of the instrumentation (data) Optional part of the instrumentation 14 ITS 2009 Stockholm
    • Data Acquisition Systems Some specific issues: • Data enrichment by maps • Protection of proprietary data • Encryption of tha data • Driver annotation interface • Possibility of audio recording • Triggered logging • Synchronisation with GPS 15 ITS 2009 Stockholm
    • Design of experiment Drivers •Represent as much as possible the population of buyers •Professional drivers in the case of trucks •Perfomance compared with and without the system (Baseline) •Control group introduced for several functions Vehicles •According to the present EU market, technical feasibility and interests of manufacturers •Middle+top class cars, heavy trucks Environment • Specific events defined (e.g: overtaking manoeuvre) • Situation variables specified (e.g: weather, visibility, driver status) • Performance indicators are the basis for the overall evaluation (e.g: mean speed, mean time headway, frequency of braking,…) 16 ITS 2009 Stockholm
    • Events and situation variables weather (e. g. rain) traffic overtaking (e. g. low volume) Events manoeuvre lighting (e. g. day light) road type (e. g. rural road) Scenario overtaking in day light in low vehicle occupancy traffic on rural road … (e. g. 1 passenger) For euroFOT: • 25 events selected / 27 situation variables • 81 performance indicators • About 110 corresponding measures 17 ITS 2009 Stockholm
    • VMC Operations Center Some of the aspects which required a special attention: Operation Operation Maintenance Maintenance Sales Sales Center Center Contract + HOT LINE + HOT LINE Data/Operational Consent form Training Quality Assurance Incentives Driver liaison Insurance during FOT Vehicles Drivers Questions / support Intervention logging Objective data Subjective data / Documentation Data pick-up Data pick-up method method Data storage method Data storage Data storage method method Data Server FOT Operations FOT Operations Data Server Data Data 18 ITS 2009 Stockholm
    • Data analysis plan ... Questionnaires VMC-Fleet CO-, CV-, CV+E-data VMC level Data quality  Data quality  analysis analysis SQL Database Cost Benefit Analysis Data processing Quality Quality Data processing assessment assessment specific  hypotheses specific  hypotheses Testing of VMC  Testing of VMC  PI‐calculation Global  Global  PI‐calculation Data quality assessment assessment Data quality analysis analysis Data mining Data mining Testing of common Testing of common hypotheses hypotheses VMC-Specific Common Data Analysis 19 ITS 2009 Stockholm
    • Data volumes: data acquisition & processing Mass storage 1012 PROJECT FLEET DATA BASES (ONE VMC) 109 VEHICLE Reconstruction and analysis Nr. of data EVENTS 106 EVENT STATISTICS PERFORMANCE 103 INDICATORS ON-BOARD OFF-BOARD 20 ITS 2009 Stockholm
    • euroFOT network International collaboration • An effective international cooperation is in place • The main objective is to share methodologies for the design and operation of FOTs • Focus on: Design of Experiments Synchronisation of performance indicators Common tools for analysis Comparison of results • EuroFOT is also contributing to the definition of a common language 21 ITS 2009 Stockholm
    • Selected lesson learnt / conclusive remarks • Use specific hypotheses; Prioritize hypotheses; Consider also combinations of functions • Define a sound data analysis plan, focused on quality (events, metrics) • Include baseline conditions • Define methods for safety analysis (crashes will be a rare, hopefully absent event) • Anticipate how to deal with operational aspects (e.g: maintenance, assistance to drivers, subjects drop-outs,…) • Plan pilot tests for a feedback on specifications and a check on technical / organisational aspects 22 ITS 2009 Stockholm
    • The Consortium 23 ITS 2009 Stockholm
    • Project coordinator: Aria Etemad FORD Research & Advanced Engineering Europe Email: 24 ITS 2009 Stockholm