cmc presentation master...1 crossing traffic other 5.008 17,9% 0 0% 2 longitudinal traffic ptw 3.689...
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12th International Motorcycle Conference, Cologne1 October 2018 Page 1
CMC Roadmap
Christian Massong, BMW Motorrad, Germany
Marcus Petzold, VUFO GmbH, Germany
12th International Motorcycle Conference
Cologne, Germany
1 October 2018
Motorcycles on track to connectivity &
Evaluation of the potential of C-ITS for motorcycles on the basis of real accidents
12th International Motorcycle Conference, Cologne1 October 2018 Page 2
• Brief introduction of CMC
• Motivation: Enhancement of motorcycle safety
• Working Group: Unification and Interoperability
• Motorcycle accidents statistics
• Analyses and evaluation
• Potential and benefit of C-ITS
• Exemplified by the application “Left Turn Assist”
• CMC Roadmap
Agenda
12th International Motorcycle Conference, Cologne1 October 2018 Page 3
Motivation: Enhancement of motorcycle safety
Trend of car and motorcycle fatalities
USA Europe Japan
Source: International Traffic Safety Data and Analysis Group (IRTAD)
0
5,000
10,000
15,000
20,000
25,000
2000 2002 2004 2006 2008 2010 2012 2014 2016
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
2000 2002 2004 2006 2008 2010 2012 2014 2016
0
500
1,000
1,500
2,000
2,500
3,000
3,500
2000 2002 2004 2006 2008 2010 2012 2014 2016
12th International Motorcycle Conference, Cologne1 October 2018 Page 4
• Make motorcycle riding safer by vehicle-to-vehicle communication
• Avoid accidents, e.g. where motorcycles are being overlooked
• We jointly promote, research and develop connectivity for motorcycles
CMC’s mission: motorcycle safety
netmag© ETSI©
12th International Motorcycle Conference, Cologne1 October 2018 Page 5
• 6 Task Groups:• CMC C-ITS Roadmap
• Application- / Use Case Description
• Rider Motivation, Behaviour and Modelling
• Profiling
• HMI Guideline for C-ITS on PTW
• Accidentology
CMC Working Group Unification & Interoperability
Introduction of CMC and C-ITS
CAR2CAR Illustrator ©
12th International Motorcycle Conference, Cologne1 October 2018 Page 6
V2V communication example: Animation of LTA
12th International Motorcycle Conference, Cologne1 October 2018 Page 7
30%
40%
50%
60%
70%
80%
90%
100%
2000 2002 2004 2006 2008 2010 2012 2014 2016
Pe
rce
nta
ge
(re
late
d t
o th
e y
ear
200
0)
Year
Car occupants
Pedestrians
Cyclists
Truck occupants
Motorcycle & Moped rider
Source: Statistisches Bundesamt, Wiesbaden, Fachserie 8 / Reihe 7
Year 2000 = 100%
Fatally injured road users in Germany
2017
12th International Motorcycle Conference, Cologne1 October 2018 Page 8
Investigation area
HannoverGermany
DresdenGermany
Source: Google Maps & GIDAS
Information
Technical
Medical
Recon-
≈ 2.000 traffic accidents
with personal damage
per year - since 1999 -
Ø 3.500 single
information per accident
German accident data – GIDAS
struction
Database
12th International Motorcycle Conference, Cologne1 October 2018 Page 9
2. Weighting towards the German traffic accident statistics of 2016
3. Scenario classification
1. Creation of a dataset
Crossing traffic Longitudinal traffic Lane change
Left turn U-turn
Straight Left curve Right curve
Animals
Others
/
Un-
known
Driving Accidents:
Collision
Accidents: Technical defect
Method: Accident scenarios of motorcycles
12th International Motorcycle Conference, Cologne1 October 2018 Page 10
5,6125,151
3,5383,168
2,816
2,018 1,950
1,311896
269
1,274
Accident scenarios by type of accident
Collision accidents
Driving accidents
n = 28.002 accidents
12th International Motorcycle Conference, Cologne1 October 2018 Page 11
17.9%
13.2%
8.0%6.2%
5.2% 4.6% 4.4%
0
1,000
2,000
3,000
4,000
5,000
6,000
Top 10 – motorcycle accident causation
Accident Causer = Motorcycle
Accident Causer = Other11.1% 10.0%
7.2%
Driving accidentsCollision accidentsn = 28.002 accidents
12th International Motorcycle Conference, Cologne1 October 2018 Page 12
17.9%
13.2%
8.0%6.2%
5.2% 4.6% 4.4%
0
1,000
2,000
3,000
4,000
5,000
6,000
Top 10 – motorcycle accident causation
11.1% 10.0%
7.2%
Driving accidentsCollision accidents
Accident Causer = Motorcycle
Accident Causer = Other
n = 28.002 accidents
Driving accidents are mainly
addressed by independently
operating
advanced rider assistant
systems
(not C-ITS)
12th International Motorcycle Conference, Cologne1 October 2018 Page 13
Method: Evaluation of the potential of C-ITS
Source: CMC document “Application- and Use-Case description”
Filter criteria
Evaluating the potential of 19 C-ITS applications
Applying the filter criteria to the dataset
Conversion into
Nr. of addressed accidents with distinction regarding causation
Result
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Results – Top 10 applications
22%
14%
9%
6%4%
2% 2% 2% 1% 1%
MAI /MAW
IMA FCW BSW &LCW
LTA IMA FCW EEBL BSW &LCW
AWW
Other Other PTW Other Other PTW Other PTW PTW PTW
MAI: Motorcycle Approach Indication
MAW: Motorcycle Approach Warning
IMA: Intersection Movement Assist
FCW: Forward Collision Warning
BSW: Blind Spot Warning
LCW: Lane Change Warning
LTA: Left Turning Assist
EEBL: Emergency Electronic Brake Lights
AWW: Adverse Weather Warning
Share in addressed motorcycle accidents
(n=28.002, Germany, 2016)
Accident
Causer:
Application:
12th International Motorcycle Conference, Cologne1 October 2018 Page 15
Example: Left Turn Assist - result
Most frequent C-ITS relevant
accident scenarios of PTW
Addressed
cases with
LTA
Nr. ScenarioAccident
Causer
no. of
accidents%
no. of
accidents%
1 Crossing traffic Other 5.008 17,9% 0 0%
2 Longitudinal traffic PTW 3.689 13,2% 0 0%
3 Lane Change Other 2.238 8,0% 0 0%
4 Left turn Other 1.744 6,2% 1.244 71%
5 Longitudinal traffic Other 1.463 5,2% 0 0%
6 Lane change PTW 1.300 4,6% 0 0%
7 U-turn Other 1.245 4,4% 0 0%
… … … … … … …
13 Left turn PTW 206 0,7% 123 60%
The LTA could address:
• 1.244 accidents, if
the accident causer
is the Other vehicle.
• 123 accidents, if the
accident causer is
the PTW.
Efficiency of LTA in the
scenario Left turn is over
70%!
12th International Motorcycle Conference, Cologne1 October 2018 Page 16
Car
disregards
the PTW
PTW
Example scenario: Left turn
Source: GIDAS accident case from 2017
12th International Motorcycle Conference, Cologne1 October 2018 Page 17
Example scenario: Left turn without LTA
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Example scenario: Left turn with LTA
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Results – Top 10 applications
22%
14%
9%
6%4%
2% 2% 2% 1% 1%
MAI /MAW
IMA FCW BSW &LCW
LTA IMA FCW EEBL BSW &LCW
AWW
Other Other PTW Other Other PTW Other PTW PTW PTW
MAI: Motorcycle Approach Indication
MAW: Motorcycle Approach Warning
IMA: Intersection Movement Assist
FCW: Forward Collision Warning
BSW: Blind Spot Warning
LCW: Lane Change Warning
LTA: Left Turning Assist
EEBL: Emergency Electronic Brake Lights
AWW: Adverse Weather Warning
Share in addressed motorcycle accidents
(n=28.002, Germany, 2016)
Accident
Causer:
Application:
12th International Motorcycle Conference, Cologne1 October 2018 Page 20
See and Get Seen by others
Be Warned of the unexpected
CMC Roadmap
Ride with Less Stress
Motorcycle Approach Warning
safe
ty b
enefit fo
r m
oto
rcycle
s
technical evolution – availability & reliability of data
ITS phase I ITS phase II ITS phase III
Lane Change Warning /
Blind Spot Warning
Transit Signal PriorityGreen Light Optimized Speed Advisory
Traffic Light Violation WarningRoad Works Warning
Do Not Pass Warning
Connected Automated Cruise Control
Lane Merge Assistant
Lane Change Warning /
Blind Spot Warning
Intersection Movement Assist
Forward Collision Warning
Forward Collision Warning
Left Turn Assist
Intersection Movement Assist
Motorcycle Approach Indication
Group Riding
Broken Down Vehicle Warning
Adverse Weather Warning
Emergency Electronic Brake Lights
Fuelling & Charging Information
Cooperated Driving
– to make the road safer
12th International Motorcycle Conference, Cologne1 October 2018 Page 21
Hall 6 – indoor
CMC booth
12th International Motorcycle Conference, Cologne1 October 2018 Page 22
www.cmc-info.net
Thank you for your attention