laurette guyonvarc’h michel lutz francoise josseaume cyril ... · francoise josseaume cyril...

Post on 04-Jun-2020

3 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

TRANSCRIPT

Laurette Guyonvarc’hFrancoise Josseaume

Cyril ChauvelAnne Guillaume

Michel Lutz

4 th International Symposium on NDS –VTTI- Blacksburg August 2014

4 th International Symposium on NDS - VTTI 2

Accidentology, Biomechanics, Driver behavior

� Common research laboratory between French car manufacturers

� Missions � Road safety and cars safety� Safer and supporting cars � Real performance of safety devices and ADAS

Renault

Peugeot Citroën

4 th International Symposium on NDS - VTTI

Arc

hite

ctur

e &

Tec

hnol

ogy • Architecture

design• Technical

Assessment• Expertise:

Big Data, Data science, Web, Cloud, NoSQL, BI, IAM, UeX

• Choice of technologies

Info

rmat

ion

Sys

tem

sM

anag

emen

t • IT master plan

• IS Assessment

• Application Portfolio Management

• IT Governance

Cha

nge

man

agem

ent • Agile

methodology, Team dynamicsimprovement

• Lean IT• Software

factory• Software

quality, testing strategy

• Training & conference

Des

ign

of in

nova

tive

appl

icat

ions

• 360°project scoping

• Lean startup• Agile

development

Innovative applications and Information Systems in line with complex business challenges

4 th International Symposium on NDS - VTTI

SCORE@F

� French FOT � Part of Drive C2X European project� IT Systems potential

4

Technicalsystems

• V2V• I2V• V2I

Use cases

Outcomes

• Road safety• Traffic management• Mobility / Comfort services

• System ingeneering• Accidentology• Acceptability, driver behavior

4 th International Symposium on NDS - VTTI 5

FOT 38

30 drivers

1h30 trips

CAN / GPS data

Information / alert messages on Ipad

Road safety

Point Of Interest

Traffic management

4 th International Symposium on NDS - VTTI

110 kph

� Methodology

� Use case� Speed limit message

� Sequence analysis in

Drivers reactions to on-board message?

6

Variables, time window,…

Data mining methods

Frequent behavior

4 th International Symposium on NDS - VTTI

Data example: speed

Spe

ed

Speed over time for the 30 participants

Message

Max authorized speed

t

4 th International Symposium on NDS - VTTI

States distribution visualisation

� Throttle pedal

8

t0: speed limit messaget0-10 s t0+10s

Message influence on driver’s behavior

4 th International Symposium on NDS - VTTI

Sequential pattern mining results

9

� Behavior patterns� One or more throttle pedal release after message� Slight throttle release (47%)

4 th International Symposium on NDS - VTTI

Discriminant analysis

10

t

spee

d

Speed profiles for the 3 groups

around message time

Group A speed

profile

Group B speed

profile

Group C speed

profile

Max authorised speed

4 th International Symposium on NDS - VTTI

State sequences for 3 groups

Throttle slight release significantly more

frequent for A group

Continuous accel

throttle slight press

throttle slight release

4 th International Symposium on NDS - VTTI

Conclusion

� Sequential pattern mining to evidence frequentbehavior

� Clustering method to evidence behavioralsubgroups

� Innovative techniques � New use case for data mining methods� Complementary method for NDS

12

4 th International Symposium on NDS - VTTI

Perspectives: project applications

� U-Drive� European naturalistic driving project� Focus on ADAS use and distraction� 120 cars in 4 European countries

� SCOOP@F� Large scale deployment of ITS in France

3000 carsAll types of roads (urban / rural / highway)

� Set up for a new French FOT SCOREF use case + other mobility servicesBenefit evaluationDistraction linked to Intelligent Telecommunication Systems

13

4 th International Symposium on NDS - VTTI 14

top related