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Jonas Bärgman
Washington DC
July 13, 2010
NDS/FOT at
Outline
•
Some words on SAFER•
The research focus in NDS/FOT
•
SeMiFOT1 –
implementation•
euroFOT
•
SeMiFOT2 and DREAMi•
Other projects
•
Timeline
SAFER presentation for Japan
3SAFER Goals Phase #1 071220
VINNOVAVägverketVästra GötalandsregionenLindholmen Science Park
AutolivEpsilonFolksamSaab AutomobileSaab Microwave SystemsScaniaTelia SoneraVolvo Car Corporation Volvo GroupImego ABScandinavian Automotive SuppliersSicomp AB
CHALMERS Göteborgs universitetSPVTITÖIViktoriainstitutet
SAFER Goals Phase #1 071220
SAFER’s organisation –
22 partnersGovernment
Universities Industry
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”
Experimental Design Phase
NaturalisticDriving Studies
(NDS)
NaturalisticFOT
OtherFOTs
Tools
Method Chain in Relation to NDS & FOTAnalysis
Phase
Other FOTse.g. test routes
Naturalistic FOT
NaturalisticDriving Studies
(NDS)
NDS
FOTs
Collection Phase
Leve
l of e
xper
imen
tal c
ontr
olLo
wH
igh
Diff
eren
t Ana
lysi
s G
oals
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
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.
Overview of Public DeliverablesSeMiFOT
Final ReportWP1 Management
WP2 Design
WP3 Data Management
WP5 Evaluation of Methodology
Hypotheses
Questionnaires
Procedures
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
Task Reports:Available on Request
WP & Final Reports Available:
www.chalmers.se/safer/EN/publications
• 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…
SeMiFOT1 -
Implementation
Events Prevented Simulated vehicle trajectories with and without LDW
Relationship Between Driving Performance Metrics (Quantifying ”Oops”) and Visual behavior
•
Implementing driver performance metrics (e.g. ReversalRate, AbsMaxLatAccel, StdLatAccel, MinLongAccel)
•
Developing state-of-the-art adaptive quality and smoothing filters
•
Investigation of relationship 1000 1010 1020-5
0
5
1.58 1.6 1.62 1.64 1.66 1.68
x 104
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
Time (sample)
Gaz
e pi
tch
(rad)
• Duration: May 2008 to Aug 2011• 28 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
euroFOT
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?
•
Collaboration with Japan Automobile Research Institute (JARI) –
large
amounts of event triggered naturalistic data
2) Loss of control in curves with locally reduced road friction
Insufficient experience: vehicle (3)
Incorrect prediction (11)
Confirmation bias: road (7)
Undetectable slipperiness (11)
Curve characteristics (7)
Reduced road friction (11)
Unpredicted vehicle dynamics (5) Fear (3)
Inadequate plan (8)
Decision error (1)
Wrong direction (3)Inadequate speed (3)Excessive speed (3)Insufficient force (2)
Inaccurate speed limit posted (4)
Psych. stress (1)
Group pressure (1)
Inad. road maintenance (8)
Inad. road design (7)
Distraction (2)
ESC
Education
!
Note: the aggregated DREAM charts are compiled with DREAM version 2.1
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
SeMiFOT2 –
analysis onlyQuestions:
•
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
18SAFER Goals Phase #1 071220
2008 2009 2011Timeline
TSS‐FOT
EuroFOT (FCW, ACC, SL, LDW&IW, BLIS, SafeHMI, CSW, FEA)
Future EU Calls on FOTs
& Naturalistic Driving, incl
VII
Swedish NDS/FOT (S‐FOT) (XXX vehicles)
FESTA ( FOT Methodology ‐
EU)
FOT/NDS Projects with
SAFER partisipation
2010 2012 2013
FOT NET (FOT knowledge exchange)
”EUSHRP2”
(Naturalistic Driving Study)
SeMiFOT
Focused analysis projects (National/international)
Use of consumer Data Acquisition systems (National/international)
Time-Line -
FOT/NDS projects with SAFER participation
DREAMi
SeMiFOT2
Misc PhD projects (w/wo industry)
BasFOT1 BasFOT2
Thank you for you attention