NDS/FOT at. Jonas Bärgman Washington DC July 13, 2010

Transcription

1 NDS/FOT at Jonas Bärgman Washington DC July 13, 2010

2 Outline Some words on SAFER The research focus in NDS/FOT SeMiFOT1 implementation eurofot SeMiFOT2 and DREAMi Other projects Timeline

3 SAFER s organisation 22 partners Government VINNOVA Vägverket Västra Götalandsregionen Lindholmen Science Park Universities CHALMERS Göteborgs universitet SP VTI TÖI Viktoriainstitutet Autoliv Epsilon Folksam Saab Automobile Saab Microwave Systems Scania Telia Sonera Volvo Car Corporation Volvo Group Imego AB Scandinavian Automotive Suppliers Sicomp AB Industry SAFER presentation for Japan 3 SAFER Goals SAFER Phase #1 Goals Phase #

4 The SAFER NDS/FOT Collaboration 13 partner including: 4 vehicle manufacturers (OEMs) + 1 supplier Swedish Transport Administration Universities and institutes from Sweden and Norway Working with sensitive data: Personal integrity (video etc) Proprietary issues (vehicle CAN ADAS systems) Joint analysis (project dependent): Combine data from several OEMs Combine competences from SAFER partners All under one roof

5 Method Chain in Relation to NDS & FOT Experimental Design Phase Collection Phase Analysis Phase NDS Level of experimental control Low Naturalistic Driving Studies (NDS) Naturalistic FOT Other FOTs e.g. test routes Tools Naturalistic Driving Studies (NDS) FOTs Naturalistic FOT Other FOTs Different Analysis Goals High

6 Research Focus within NDS/FOT Crash Relevant Events (CRE) for accident research Evaluation of advanced active safety systems Driver inattention specifically visual behavior New statistical approaches to NDS/FOT data analysis Use NDS/FOT data for crash causation factor break down

7 SeMiFOT1 - The Aim Implement and develop the Naturalistic Field Operational Test method into a powerful tool for (a) accident research, (b) evaluation of safety, efficiency, and usage & acceptance, and (c) countermeasure innovation and development.

8 Overview of Public Deliverables WP1 Management WP2 Design WP & Final Reports Available: WP3 Data Management SeMiFOT Final Report WP5 Evaluation of Methodology Hypotheses Questionnaires Procedures Task Reports: Available on Request CRE Analyses CRE & Accident Stats Visual Behavior NDS Automatic Speed Cameras Events-Prevented Analysis CRESIA Visual Behavior & ACC Usage Analysis LDW Subjective Data Analysis FOT/NDS in Product and Infrastructure Development Consumer Systems OD data in VII SeMiFOT2 Description

9 SeMiFOT1 - Implementation Technical aspects Review and comparison of data acquisition from US, EU and Japan Data acquisition systems, database/storage, and analysis tools Data sharing and collaboration procedures 170,000 km over12,000 trips collected Analysis Crash Relevant Events (trigger design, manual review proc. etc) Linking databases with FOT-data (map / accident statistics etc) Events prevented Visual behavior Benefits of Origin and Destination Information in VII Data Set Other

10

11

12 Events Prevented Simulated vehicle trajectories with and without LDW

13 Relationship Between Driving Performance Metrics (Quantifying Oops ) and Visual behavior 5 Implementing driver performance metrics (e.g. ReversalRate, AbsMaxLatAccel, StdLatAccel, MinLongAccel) 0 Developing state-of-the-art adaptive quality and smoothing filters -5 Investigation of relationship Gaze pitch (rad) Time (sample) x 10 4

14 eurofot Duration: May 2008 to Aug partners and 22m budget EC project Evaluation of production ADAS systems Now most vehicles out : In Sweden 130 collecting data First data uploaded to database Next: execution of analysis plan

15 Crash causation breakdown - DREAMi How can method(s) developed for in-depth crash causation research be applied on NDS/FOT data? What modifications are needed? What is different when applied to incidents vs. crashes? Comparability? 2) Loss of control in curves with locally reduced road friction Collaboration with Japan Automobile Research Institute (JARI) large amounts of event triggered naturalistic data Inad. road maintenance (8) Inad. road design (7) Group pressure (1) Reduced road friction (11) Curve characteristics (7) Unpredicted vehicle dynamics (5) Inaccurate speed limit posted (4) Insufficient experience: vehicle (3) Psych. stress (1) Distraction (2) Confirmation bias: road (7) Undetectable slipperiness (11) ESC Fear (3) Education Inadequate plan (8) Incorrect prediction (11) Decision error (1)! Wrong direction (3) Inadequate speed (3) Excessive speed (3) Insufficient force (2) Note: the aggregated DREAM charts are compiled with DREAM version 2.1

16 BasFOT Setting up the platform for SAFER FOT/NDS long term Data acquisition Storage/database Analysis tools Pre/post processing and data quality Procedures: Data sharing, manual annotation, etc

17 SeMiFOT2 analysis only Questions: What explanatory factors are associated with crashes or crash surrogates and can be used to predict crash or crash surrogates? How does driver distraction influence crash likelihood? How do dynamic driver characteristics influence crash likelihood? Implementation Develop quantitative definitions of CRE severity Extraction of CREs (triggers/reduction) Exploration of statistical and analytical approaches for CRE analysis Analysis of the impact of visual behaviour on driving performance and CREs Expansion of SeMiFOT simulation techniques

18 Time-Line - FOT/NDS projects with SAFER participation EUSHRP2 (Naturalistic Driving Study) FOT/NDS Projects with SAFER partisipation Future EU Calls on FOTs & Naturalistic Driving, incl VII Focused analysis projects (National/international) Use of consumer Data Acquisition systems (National/international) Misc PhD projects (w/wo industry) DREAMi BasFOT1 BasFOT2 EuroFOT (FCW, ACC, SL, LDW&IW, BLIS, SafeHMI, CSW, FEA) FOT NET (FOT knowledge exchange) FESTA ( FOT Methodology EU) TSS FOT SeMiFOT SeMiFOT2 Swedish NDS/FOT (S FOT) (XXX vehicles) Timeline SAFER Goals Phase #

19 Thank you for you attention