SlideShare a Scribd company logo
Challenges in Analysing Data of ADAS in a
 Field Operational Test: the euroFOT
 Experience
 TRA 2010




Dr. Ahmed Benmimoun
Institut für Kraftfahrzeuge, RWTH Aachen University
Brussels, June 2010




www.eurofot-ip.eu




Content

• Motivation and Objectives
• Data Analysis Challenges
• Approach
          Incident Detection
          Safety Impacts
• Summary and Outlook




      11.06.2010            A. Benmimoun - TRA 2010   www.eurofot-ip.eu
Objectives of Data Analysis (1/2)

To quantify the impacts on EU level of the functions
tested in the FOT on traffic efficiency, safety,
environment and driver behaviour
     Taking into account various penetration rates
     Providing input for the socio-economic cost-benefit
     analysis (CBA)




  11.06.2010     A. Benmimoun - TRA 2010                              www.eurofot-ip.eu




Objectives of Data Analysis (2/2)

The following impacts will be quantified for use in the
CBA:
      Traffic safety: changes in the number of accidents with
      fatalities, injuries (severe, slight) or material damage only
      Traffic efficiency:
          direct effects: travel time changes, but also
          homogenisation/reduction of congestion effects for environmental
          impact assessment
          indirect effects: changes in the amount of accident related
          congestion (based on changes in number of accidents)
      Environment: changes in fuel consumption and emissions of
      CO2
          due to direct traffic efficiency effects
          due to changes in accident related congestion

  11.06.2010     A. Benmimoun - TRA 2010                              www.eurofot-ip.eu
Data Analysis Challenges

•   Adaptation of the FESTA analysis methodology to the specific
    needs of euroFOT (different sites, functions, combined functions,
    data acquisition systems)
•   Automation of evaluation process, due to the large amount of data
•   Ensuring that all pre-defined research questions are addressed,
    despite vehicles being equipped with different sensors
•   Determination of incidents without video data
•   Translation of surrogate measures into accident reduction
    potential, for different penetration rates
•   Designing a complete analysis, from data acquisition through to
    impact assessment. This involves integrating various existing
    methodologies and filling in some remaining gaps



    08.06.2010   A. Benmimoun - TRA 2010                          www.eurofot-ip.eu




Data Analysis Approach




    11.06.2010   A. Benmimoun - TRA 2010                          www.eurofot-ip.eu
General Approach for the Impact
Assessment
The two following methods are planned for the impact assessment,
which needs to provide input for the CBA:
•Direct route: Impact assessment directly from the FOT-data (scaling up
via situational variables)
       Direct impacts are more reliable because data from the FOT is used without
       assumptions
•Modelling route: Impact assessment using models to assess effects for
higher penetration rates (also includes scaling up via situational
variables)
       Especially for functions that influence behaviour of other vehicles (e.g. ACC) the
       direct route is not sufficient
       Use of FOT data as input for models (e.g. changes in driving behaviour)
       Interaction with other (equipped and non-equipped) vehicles can be modelled
       Higher penetration rates than found on the road in the FOT can be modelled
       Possibility to analyse network effects



   11.06.2010        A. Benmimoun - TRA 2010                                            www.eurofot-ip.eu




Tools for Modelling Activties


       PELOPS




   11.06.2010        A. Benmimoun - TRA 2010                                            www.eurofot-ip.eu
Safety Impacts




   11.06.2010      A. Benmimoun - TRA 2010                                    www.eurofot-ip.eu




Determination of Incidents without
Verification by Video Data
•First approach utilised triggers used in the US FOTs    a high number of
false detections have been observed (verification by video data)
•New approach is defined, which is based mainly on three different data
sets
    1. Use of data from driving experiments to determine what is an extraordinary
       driving situation (15 drivers, pre-defined test track with urban, rural as well
       as motorway areas)        triggers and thresholds for critical situations
    2. Re-production of specific critical situations on test tracks, in order to
       have further information on the pre-history of the situation and the
       possibility to check suitability of defined thresholds
    3. Use of video data from the pilot to identify which factors lead
       to false detections and eliminate these by adaptation
       of triggers
   Reduction of false detection rate from 75 % to 5 %

   08.06.2010       A. Benmimoun - TRA 2010                                   www.eurofot-ip.eu
Determination of Incidents without
Verification by Video Data




    11.06.2010         A. Benmimoun - TRA 2010                                 www.eurofot-ip.eu




Safety Impacts
Risk Assessment Appraoch
•   Split accident risk by (combinations of) situational variables:
        Road type (urban / rural / motorway).
        Weather (normal / adverse).
        Lighting (light / dark).
        Time of day (morning peak / evening peak / night / rest of the day).
        Road form if road type is not motorway (link / intersection).
        Traffic situation if road type is motorway (congestion / free flow).
        Vehicle type (passenger car / truck).
        For trucks: empty / loaded.


•   Compute accident risk
    per accident type




    11.06.2010         A. Benmimoun - TRA 2010                                 www.eurofot-ip.eu
Safety Impacts
Incident-based Appraoch
Determine risk = (fatal) crash probability per kilometer, based on FOT data


                                 System                           Accident                FOT data
                                                                  database



                           Identify crashes that    Identify conflicts
                                                                                     Conflict rates
                             can be prevented      preceding crashes



FOT Data                                                         Historical crash                                        Risk
                                                                rates and division   Exposure Ratio
                                                                   over conflicts



                                                                                                      Prevention Ratio




                                                            P (C | S i ) ⋅ Pw ( S i ) 
R = Pwo (C ) − Pw (C ) = Pwo (C ) ⋅ ∑ Pwo ( S i | C ) × 1 − w                           
                                    i                      Pwo (C | S i ) ⋅ Pwo ( S i )                Additional
                                                                                                        information
P(C) is the probability of a crash per FOT kilometer with/without the system



      11.06.2010             A. Benmimoun - TRA 2010                                                                     www.eurofot-ip.eu




Summary and Outlook

Current status:
• Basic methodology defined so far and described in a Data
  Analysis Plan for each Vehicle Management Centre in euroFOT
Next steps:
• Refinement of methodology and approach for impact assessment
            Translation of surrogate measures (changes in driver and driving behaviour) into changes
            in accident risk
            Translation of decrease of incidents into decrease of accidents
            ...
•     Test and evaluation of the methodology with data from piloting
      and FOT
•     Finalisation of methodology for impact assessment
•     Conduction of impact assessment for the considered functions
•     Conduction of a socio-economic cost-benefit analysis
•     Final results are to be expected for autumn 2011
      11.06.2010             A. Benmimoun - TRA 2010                                                                     www.eurofot-ip.eu
Thank you for your attention…




15   11.06.2010   Mohamed Benmimoun - TRA 2010, Brussels   www.eurofot-ip.eu

More Related Content

Viewers also liked

Commercial Environments Brochure
Commercial Environments BrochureCommercial Environments Brochure
Commercial Environments Brochuredianecom1
 
Presentation from Marco Dozza at parallel session on FOTs
Presentation from Marco Dozza at parallel session on FOTsPresentation from Marco Dozza at parallel session on FOTs
Presentation from Marco Dozza at parallel session on FOTseuroFOT
 
ValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
ValueFrame ja Snoobi: Kullanhuuhdontaa LiidivirrastaValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
ValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
ValueFrame Oy
 
Technology Products as Timeshare VS Reading and Sports
Technology Products as Timeshare VS Reading and SportsTechnology Products as Timeshare VS Reading and Sports
Technology Products as Timeshare VS Reading and Sports
Bilal Ahmad
 
ValueFrame - Järjestelmällinen myyntityö
ValueFrame - Järjestelmällinen myyntityöValueFrame - Järjestelmällinen myyntityö
ValueFrame - Järjestelmällinen myyntityö
ValueFrame Oy
 
Employee data
Employee dataEmployee data
Employee data
Vivek Kumar
 
Pubcon 2013 - Post mortem banned site forensics
Pubcon 2013 - Post mortem  banned site forensicsPubcon 2013 - Post mortem  banned site forensics
Pubcon 2013 - Post mortem banned site forensics
Brian McDowell
 
ACTG 5273
ACTG 5273ACTG 5273
Blockbusters L2 - 1
Blockbusters L2 - 1Blockbusters L2 - 1
Blockbusters L2 - 1
h20ho
 
Las realidades sociales_de_ivan
Las realidades sociales_de_ivanLas realidades sociales_de_ivan
Las realidades sociales_de_ivanserveduc
 
Birthday presantation
Birthday presantationBirthday presantation
Birthday presantationivanabrabcova
 
Corporate Wellness - Presented by Beneplan & the House of Verona
Corporate Wellness - Presented by Beneplan & the House of VeronaCorporate Wellness - Presented by Beneplan & the House of Verona
Corporate Wellness - Presented by Beneplan & the House of VeronaYafa Sakkejha
 
Cooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyCooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyeuroFOT
 
Marketing Innovation In India
Marketing Innovation In IndiaMarketing Innovation In India
Marketing Innovation In India
The Added Value Group
 

Viewers also liked (20)

Commercial Environments Brochure
Commercial Environments BrochureCommercial Environments Brochure
Commercial Environments Brochure
 
Presentation from Marco Dozza at parallel session on FOTs
Presentation from Marco Dozza at parallel session on FOTsPresentation from Marco Dozza at parallel session on FOTs
Presentation from Marco Dozza at parallel session on FOTs
 
ValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
ValueFrame ja Snoobi: Kullanhuuhdontaa LiidivirrastaValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
ValueFrame ja Snoobi: Kullanhuuhdontaa Liidivirrasta
 
Technology Products as Timeshare VS Reading and Sports
Technology Products as Timeshare VS Reading and SportsTechnology Products as Timeshare VS Reading and Sports
Technology Products as Timeshare VS Reading and Sports
 
Relazione Su
Relazione SuRelazione Su
Relazione Su
 
ValueFrame - Järjestelmällinen myyntityö
ValueFrame - Järjestelmällinen myyntityöValueFrame - Järjestelmällinen myyntityö
ValueFrame - Järjestelmällinen myyntityö
 
Employee data
Employee dataEmployee data
Employee data
 
Pubcon 2013 - Post mortem banned site forensics
Pubcon 2013 - Post mortem  banned site forensicsPubcon 2013 - Post mortem  banned site forensics
Pubcon 2013 - Post mortem banned site forensics
 
First Assembly In Germany
First Assembly In GermanyFirst Assembly In Germany
First Assembly In Germany
 
ACTG 5273
ACTG 5273ACTG 5273
ACTG 5273
 
Sled Dog Race
Sled Dog RaceSled Dog Race
Sled Dog Race
 
Greenpeace
GreenpeaceGreenpeace
Greenpeace
 
Blockbusters L2 - 1
Blockbusters L2 - 1Blockbusters L2 - 1
Blockbusters L2 - 1
 
Las realidades sociales_de_ivan
Las realidades sociales_de_ivanLas realidades sociales_de_ivan
Las realidades sociales_de_ivan
 
Pokus214
Pokus214Pokus214
Pokus214
 
Sky
SkySky
Sky
 
Birthday presantation
Birthday presantationBirthday presantation
Birthday presantation
 
Corporate Wellness - Presented by Beneplan & the House of Verona
Corporate Wellness - Presented by Beneplan & the House of VeronaCorporate Wellness - Presented by Beneplan & the House of Verona
Corporate Wellness - Presented by Beneplan & the House of Verona
 
Cooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyCooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT Methodology
 
Marketing Innovation In India
Marketing Innovation In IndiaMarketing Innovation In India
Marketing Innovation In India
 

Similar to Presentation from Ahmed Benmimoun at parallel session on FOTs

Esv paper 19 0277-prospect_cieslik
Esv paper 19 0277-prospect_cieslikEsv paper 19 0277-prospect_cieslik
Esv paper 19 0277-prospect_cieslik
Ilona Anna Cieslik
 
Vtt transport vehicle_systems
Vtt transport vehicle_systemsVtt transport vehicle_systems
Vtt transport vehicle_systems
VTT Technical Research Centre of Finland Ltd
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation Systemguest6d72ec
 
Paper 3189
Paper 3189Paper 3189
Paper 3189euroFOT
 
Manuscript next generation advanced driver assistance systems towards the pro...
Manuscript next generation advanced driver assistance systems towards the pro...Manuscript next generation advanced driver assistance systems towards the pro...
Manuscript next generation advanced driver assistance systems towards the pro...
Ilona Anna Cieslik
 
Ieeepro techno solutions 2013 ieee embedded project greatest invehicular ac...
Ieeepro techno solutions   2013 ieee embedded project greatest invehicular ac...Ieeepro techno solutions   2013 ieee embedded project greatest invehicular ac...
Ieeepro techno solutions 2013 ieee embedded project greatest invehicular ac...
srinivasanece7
 
IRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management SystemIRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management System
IRJET Journal
 
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
Ilona Anna Cieslik
 
Impact assessment of active safety systems within the field operational test ...
Impact assessment of active safety systems within the field operational test ...Impact assessment of active safety systems within the field operational test ...
Impact assessment of active safety systems within the field operational test ...euroFOT
 
Internet of vehicles (io v) for traffic management
Internet of vehicles (io v) for traffic managementInternet of vehicles (io v) for traffic management
Internet of vehicles (io v) for traffic management
ANTONY P SAIJI
 
Cisco Smart Intersections: IoT insights using video analytics and AI
Cisco Smart Intersections: IoT insights using video analytics and AICisco Smart Intersections: IoT insights using video analytics and AI
Cisco Smart Intersections: IoT insights using video analytics and AI
Carl Jackson
 
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
Ilona Anna Cieslik
 
VANET-based traffic monitoring and incident detection system: A review
VANET-based traffic monitoring and incident detection system: A review VANET-based traffic monitoring and incident detection system: A review
VANET-based traffic monitoring and incident detection system: A review
IJECEIAES
 
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic AnalysisIRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET Journal
 
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic AnalysisIRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET Journal
 

Similar to Presentation from Ahmed Benmimoun at parallel session on FOTs (20)

Paper 3632
Paper 3632Paper 3632
Paper 3632
 
Paper 3688
Paper 3688Paper 3688
Paper 3688
 
Paper 3688
Paper 3688Paper 3688
Paper 3688
 
Paper 3403
Paper 3403Paper 3403
Paper 3403
 
Esv paper 19 0277-prospect_cieslik
Esv paper 19 0277-prospect_cieslikEsv paper 19 0277-prospect_cieslik
Esv paper 19 0277-prospect_cieslik
 
Vtt transport vehicle_systems
Vtt transport vehicle_systemsVtt transport vehicle_systems
Vtt transport vehicle_systems
 
Intelligent Transportation System
Intelligent Transportation SystemIntelligent Transportation System
Intelligent Transportation System
 
Paper 3189
Paper 3189Paper 3189
Paper 3189
 
Paper 3463
Paper 3463Paper 3463
Paper 3463
 
Manuscript next generation advanced driver assistance systems towards the pro...
Manuscript next generation advanced driver assistance systems towards the pro...Manuscript next generation advanced driver assistance systems towards the pro...
Manuscript next generation advanced driver assistance systems towards the pro...
 
Ieeepro techno solutions 2013 ieee embedded project greatest invehicular ac...
Ieeepro techno solutions   2013 ieee embedded project greatest invehicular ac...Ieeepro techno solutions   2013 ieee embedded project greatest invehicular ac...
Ieeepro techno solutions 2013 ieee embedded project greatest invehicular ac...
 
IRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management SystemIRJET- Intelligent Traffic Management System
IRJET- Intelligent Traffic Management System
 
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
TRA 2018 Vienna Publication: Advancing active safety towards the protection o...
 
Impact assessment of active safety systems within the field operational test ...
Impact assessment of active safety systems within the field operational test ...Impact assessment of active safety systems within the field operational test ...
Impact assessment of active safety systems within the field operational test ...
 
Internet of vehicles (io v) for traffic management
Internet of vehicles (io v) for traffic managementInternet of vehicles (io v) for traffic management
Internet of vehicles (io v) for traffic management
 
Cisco Smart Intersections: IoT insights using video analytics and AI
Cisco Smart Intersections: IoT insights using video analytics and AICisco Smart Intersections: IoT insights using video analytics and AI
Cisco Smart Intersections: IoT insights using video analytics and AI
 
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
ITS 2018 Denmark Publication: Advancing active safety and testing methodologi...
 
VANET-based traffic monitoring and incident detection system: A review
VANET-based traffic monitoring and incident detection system: A review VANET-based traffic monitoring and incident detection system: A review
VANET-based traffic monitoring and incident detection system: A review
 
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic AnalysisIRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
 
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic AnalysisIRJET- A Survey of Approaches for Vehicle Traffic Analysis
IRJET- A Survey of Approaches for Vehicle Traffic Analysis
 

More from euroFOT

Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...
Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...
Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...euroFOT
 
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCS
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCSOffline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCS
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCSeuroFOT
 
An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...euroFOT
 
An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...euroFOT
 
Cooperation needs on Field Operational Tests
Cooperation needs on Field Operational TestsCooperation needs on Field Operational Tests
Cooperation needs on Field Operational TestseuroFOT
 
Cooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyCooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyeuroFOT
 
Presentation from Francisco Sanchez Pons at parallel session on FOTs
Presentation from Francisco Sanchez Pons at parallel session on FOTsPresentation from Francisco Sanchez Pons at parallel session on FOTs
Presentation from Francisco Sanchez Pons at parallel session on FOTseuroFOT
 
Presentation from Gianfranco Burzio at parallel session on Human factors and...
Presentation from Gianfranco Burzio at parallel session on  Human factors and...Presentation from Gianfranco Burzio at parallel session on  Human factors and...
Presentation from Gianfranco Burzio at parallel session on Human factors and...euroFOT
 
Presentation from Maxime Flament at parallel session on FOTs
Presentation from Maxime Flament at parallel session on  FOTsPresentation from Maxime Flament at parallel session on  FOTs
Presentation from Maxime Flament at parallel session on FOTseuroFOT
 
Presentation from Mohamed Benmimoun at parallel session on FOTs
Presentation from Mohamed Benmimoun at parallel session on  FOTsPresentation from Mohamed Benmimoun at parallel session on  FOTs
Presentation from Mohamed Benmimoun at parallel session on FOTseuroFOT
 
euroFOT CEESAR_Presentation_20100526
euroFOT CEESAR_Presentation_20100526euroFOT CEESAR_Presentation_20100526
euroFOT CEESAR_Presentation_20100526euroFOT
 
euroFOT at 10th ITS Spain congress, Madrid, May 2010
euroFOT at 10th ITS Spain congress, Madrid, May 2010euroFOT at 10th ITS Spain congress, Madrid, May 2010
euroFOT at 10th ITS Spain congress, Madrid, May 2010euroFOT
 
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010euroFOT project, 10th ITS Spain Congress, Madrid, May 2010
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010euroFOT
 
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010euroFOT
 
Planning of a field operational test on navigation systems: Implementation an...
Planning of a field operational test on navigation systems: Implementation an...Planning of a field operational test on navigation systems: Implementation an...
Planning of a field operational test on navigation systems: Implementation an...euroFOT
 
euroFOT, David Sánchez Fernández
euroFOT, David Sánchez FernándezeuroFOT, David Sánchez Fernández
euroFOT, David Sánchez FernándezeuroFOT
 
Fot Net Data Seminar Benmimoun, IKA
Fot Net Data Seminar Benmimoun, IKAFot Net Data Seminar Benmimoun, IKA
Fot Net Data Seminar Benmimoun, IKA
euroFOT
 
euroFOT, Aachener Kolloquium, Ford
euroFOT, Aachener Kolloquium, FordeuroFOT, Aachener Kolloquium, Ford
euroFOT, Aachener Kolloquium, FordeuroFOT
 
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...euroFOT
 
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...euroFOT
 

More from euroFOT (20)

Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...
Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...
Mohamed Benmimoun, ika, Functions, research-questions, hypothesis defined for...
 
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCS
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCSOffline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCS
Offline Optimization Of Curve Speed Warning Applications, Vassilis Kaffes, ICCS
 
An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...
 
An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...An operational perspective on the organisation of large scale field operation...
An operational perspective on the organisation of large scale field operation...
 
Cooperation needs on Field Operational Tests
Cooperation needs on Field Operational TestsCooperation needs on Field Operational Tests
Cooperation needs on Field Operational Tests
 
Cooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT MethodologyCooperation needs on Field Operational Tests: FOT Methodology
Cooperation needs on Field Operational Tests: FOT Methodology
 
Presentation from Francisco Sanchez Pons at parallel session on FOTs
Presentation from Francisco Sanchez Pons at parallel session on FOTsPresentation from Francisco Sanchez Pons at parallel session on FOTs
Presentation from Francisco Sanchez Pons at parallel session on FOTs
 
Presentation from Gianfranco Burzio at parallel session on Human factors and...
Presentation from Gianfranco Burzio at parallel session on  Human factors and...Presentation from Gianfranco Burzio at parallel session on  Human factors and...
Presentation from Gianfranco Burzio at parallel session on Human factors and...
 
Presentation from Maxime Flament at parallel session on FOTs
Presentation from Maxime Flament at parallel session on  FOTsPresentation from Maxime Flament at parallel session on  FOTs
Presentation from Maxime Flament at parallel session on FOTs
 
Presentation from Mohamed Benmimoun at parallel session on FOTs
Presentation from Mohamed Benmimoun at parallel session on  FOTsPresentation from Mohamed Benmimoun at parallel session on  FOTs
Presentation from Mohamed Benmimoun at parallel session on FOTs
 
euroFOT CEESAR_Presentation_20100526
euroFOT CEESAR_Presentation_20100526euroFOT CEESAR_Presentation_20100526
euroFOT CEESAR_Presentation_20100526
 
euroFOT at 10th ITS Spain congress, Madrid, May 2010
euroFOT at 10th ITS Spain congress, Madrid, May 2010euroFOT at 10th ITS Spain congress, Madrid, May 2010
euroFOT at 10th ITS Spain congress, Madrid, May 2010
 
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010euroFOT project, 10th ITS Spain Congress, Madrid, May 2010
euroFOT project, 10th ITS Spain Congress, Madrid, May 2010
 
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010
euroFOT, Congreso Español Sistemas Inteligentes de Transporte, Madrid, May 2010
 
Planning of a field operational test on navigation systems: Implementation an...
Planning of a field operational test on navigation systems: Implementation an...Planning of a field operational test on navigation systems: Implementation an...
Planning of a field operational test on navigation systems: Implementation an...
 
euroFOT, David Sánchez Fernández
euroFOT, David Sánchez FernándezeuroFOT, David Sánchez Fernández
euroFOT, David Sánchez Fernández
 
Fot Net Data Seminar Benmimoun, IKA
Fot Net Data Seminar Benmimoun, IKAFot Net Data Seminar Benmimoun, IKA
Fot Net Data Seminar Benmimoun, IKA
 
euroFOT, Aachener Kolloquium, Ford
euroFOT, Aachener Kolloquium, FordeuroFOT, Aachener Kolloquium, Ford
euroFOT, Aachener Kolloquium, Ford
 
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...
Gianfranco Burzio (CRF), a subjective Field Test on Lane Departure Warning Fu...
 
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...
Aria Etemad, Ford, euroFOT: European large-scale Field Operational Test on Ac...
 

Recently uploaded

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Product School
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
Frank van Harmelen
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 

Recently uploaded (20)

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...Designing Great Products: The Power of Design and Leadership by Chief Designe...
Designing Great Products: The Power of Design and Leadership by Chief Designe...
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 
Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*Neuro-symbolic is not enough, we need neuro-*semantic*
Neuro-symbolic is not enough, we need neuro-*semantic*
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 

Presentation from Ahmed Benmimoun at parallel session on FOTs

  • 1. Challenges in Analysing Data of ADAS in a Field Operational Test: the euroFOT Experience TRA 2010 Dr. Ahmed Benmimoun Institut für Kraftfahrzeuge, RWTH Aachen University Brussels, June 2010 www.eurofot-ip.eu Content • Motivation and Objectives • Data Analysis Challenges • Approach Incident Detection Safety Impacts • Summary and Outlook 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 2. Objectives of Data Analysis (1/2) To quantify the impacts on EU level of the functions tested in the FOT on traffic efficiency, safety, environment and driver behaviour Taking into account various penetration rates Providing input for the socio-economic cost-benefit analysis (CBA) 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Objectives of Data Analysis (2/2) The following impacts will be quantified for use in the CBA: Traffic safety: changes in the number of accidents with fatalities, injuries (severe, slight) or material damage only Traffic efficiency: direct effects: travel time changes, but also homogenisation/reduction of congestion effects for environmental impact assessment indirect effects: changes in the amount of accident related congestion (based on changes in number of accidents) Environment: changes in fuel consumption and emissions of CO2 due to direct traffic efficiency effects due to changes in accident related congestion 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 3. Data Analysis Challenges • Adaptation of the FESTA analysis methodology to the specific needs of euroFOT (different sites, functions, combined functions, data acquisition systems) • Automation of evaluation process, due to the large amount of data • Ensuring that all pre-defined research questions are addressed, despite vehicles being equipped with different sensors • Determination of incidents without video data • Translation of surrogate measures into accident reduction potential, for different penetration rates • Designing a complete analysis, from data acquisition through to impact assessment. This involves integrating various existing methodologies and filling in some remaining gaps 08.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Data Analysis Approach 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 4. General Approach for the Impact Assessment The two following methods are planned for the impact assessment, which needs to provide input for the CBA: •Direct route: Impact assessment directly from the FOT-data (scaling up via situational variables) Direct impacts are more reliable because data from the FOT is used without assumptions •Modelling route: Impact assessment using models to assess effects for higher penetration rates (also includes scaling up via situational variables) Especially for functions that influence behaviour of other vehicles (e.g. ACC) the direct route is not sufficient Use of FOT data as input for models (e.g. changes in driving behaviour) Interaction with other (equipped and non-equipped) vehicles can be modelled Higher penetration rates than found on the road in the FOT can be modelled Possibility to analyse network effects 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Tools for Modelling Activties PELOPS 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 5. Safety Impacts 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Determination of Incidents without Verification by Video Data •First approach utilised triggers used in the US FOTs a high number of false detections have been observed (verification by video data) •New approach is defined, which is based mainly on three different data sets 1. Use of data from driving experiments to determine what is an extraordinary driving situation (15 drivers, pre-defined test track with urban, rural as well as motorway areas) triggers and thresholds for critical situations 2. Re-production of specific critical situations on test tracks, in order to have further information on the pre-history of the situation and the possibility to check suitability of defined thresholds 3. Use of video data from the pilot to identify which factors lead to false detections and eliminate these by adaptation of triggers Reduction of false detection rate from 75 % to 5 % 08.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 6. Determination of Incidents without Verification by Video Data 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Safety Impacts Risk Assessment Appraoch • Split accident risk by (combinations of) situational variables: Road type (urban / rural / motorway). Weather (normal / adverse). Lighting (light / dark). Time of day (morning peak / evening peak / night / rest of the day). Road form if road type is not motorway (link / intersection). Traffic situation if road type is motorway (congestion / free flow). Vehicle type (passenger car / truck). For trucks: empty / loaded. • Compute accident risk per accident type 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 7. Safety Impacts Incident-based Appraoch Determine risk = (fatal) crash probability per kilometer, based on FOT data System Accident FOT data database Identify crashes that Identify conflicts Conflict rates can be prevented preceding crashes FOT Data Historical crash Risk rates and division Exposure Ratio over conflicts Prevention Ratio  P (C | S i ) ⋅ Pw ( S i )  R = Pwo (C ) − Pw (C ) = Pwo (C ) ⋅ ∑ Pwo ( S i | C ) × 1 − w  i  Pwo (C | S i ) ⋅ Pwo ( S i )  Additional information P(C) is the probability of a crash per FOT kilometer with/without the system 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu Summary and Outlook Current status: • Basic methodology defined so far and described in a Data Analysis Plan for each Vehicle Management Centre in euroFOT Next steps: • Refinement of methodology and approach for impact assessment Translation of surrogate measures (changes in driver and driving behaviour) into changes in accident risk Translation of decrease of incidents into decrease of accidents ... • Test and evaluation of the methodology with data from piloting and FOT • Finalisation of methodology for impact assessment • Conduction of impact assessment for the considered functions • Conduction of a socio-economic cost-benefit analysis • Final results are to be expected for autumn 2011 11.06.2010 A. Benmimoun - TRA 2010 www.eurofot-ip.eu
  • 8. Thank you for your attention… 15 11.06.2010 Mohamed Benmimoun - TRA 2010, Brussels www.eurofot-ip.eu