anderTUDresdenGmbHAPPLICATIONS IN TRAFFIC ACCIDENT RESEARCH TO IMPROVE VEHICLE SAFETYAutomotive Conference 2019 EuropeDiplIng Florian SpitzhttlInstitute for Traffic Accident Research at Dresden Unive ID: 861476
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1 ein Unternehmen der an der TU Dresden Gm
ein Unternehmen der an der TU Dresden GmbH APPLICATIONS IN TRAFFIC ACCIDENT RESEARCH TO IMPROVE VEHICLE
2 SAFETY , Automotive Conference 2019,
SAFETY , Automotive Conference 2019, Europe Dipl . - Ing. Florian Spitzhüttl Institute for Traffic Ac
3 cident Research at Dresden University o
cident Research at Dresden University of Technology 2 Structure 1. Necessity of traffic accident resear
4 ch 2. Application assisted accident inve
ch 2. Application assisted accident investigation 3. Data analyses for research on traffic safety 4. Pre
5 - crash simulation to enhance traffic s
- crash simulation to enhance traffic safety 5. Conclusion 1. Necessity of traffic accident research 2
6 . Application assisted accident investig
. Application assisted accident investigation 3. Data analyses for research on traffic safety 4. Pre - c
7 rash simulation to enhance traffic safet
rash simulation to enhance traffic safety 5. Conclusion 3 Accident research in the 1920s Applications
8 in Traffic accident research to improve
in Traffic accident research to improve vehicle safety Necessity of traffic accident research Source: Y
9 outube (DUO\³DFFLGHQWUH
outube (DUO\³DFFLGHQWUHVHDUFK´LQ'UHVGHQ 4 Accident scenario in
10 Germany o Car occupants benefit from ac
Germany o Car occupants benefit from active and passive safety o Numbers of accidents & casualties ar
11 e stagnating since some years o In 2017
e stagnating since some years o In 2017 persons: ‡ Fatalities 3,186 ‡ Seriously injured 6
12 6,495 ‡ Slightly injured 323,659
6,495 ‡ Slightly injured 323,659 Applications in Traffic accident research to improve vehicle saf
13 ety Necessity of traffic accident resear
ety Necessity of traffic accident research - 10 % - 14 % - 41 % + 17 % 0% 20% 40% 60% 80% 100% 120% 200
14 5 2006 2007 2008 2009 2010 2011 2012 201
5 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Source: DESTATIS, Fachserie 6 Application
15 s in Traffic accident research to improv
s in Traffic accident research to improve vehicle safety Necessity of traffic accident research General
16 information Accident sketch Technical i
information Accident sketch Technical investigation Medical investigation § 2.000 accidents/y
17 ear GIDAS ± German In - Depth Accident
ear GIDAS ± German In - Depth Accident Study, since 1999 Ø 3 .500 single information/accident 7 Appl
18 ications in Traffic accident research to
ications in Traffic accident research to improve vehicle safety Necessity of traffic accident research S
19 ource: Google Maps & GIDAS Accident leve
ource: Google Maps & GIDAS Accident level Vehicle level Personal level ⦠~34.500 accidents ~62.000 veh
20 icles ~85.000 persons Only a ccidents w
icles ~85.000 persons Only a ccidents with personal damage Criteria Investigation area Database Hanove
21 r Dresden 8 1. Necessity of traffic acci
r Dresden 8 1. Necessity of traffic accident research 2. Application assisted accident investigation 3.
22 Data analyses for research on traffic
Data analyses for research on traffic safety 4. Pre - crash simulation to enhance traffic safety 5. C
23 onclusion Structure 9 Some examples Appl
onclusion Structure 9 Some examples Applications in Traffic accident research to improve vehicle safety
24 Application assisted accident investiga
Application assisted accident investigation OpenStreetMap (OSM) for accident sketch Coding of injuries
25 Signal processing of measurements 10 1.
Signal processing of measurements 10 1. Necessity of traffic accident research 2. Application assisted
26 accident investigation 3. Data analyses
accident investigation 3. Data analyses for research on traffic safety 4. Pre - crash simulation to enh
27 ance traffic safety 5. Conclusion Struc
ance traffic safety 5. Conclusion Structure 11 Applications in Traffic accident research to improve veh
28 icle safety Data analyses for research o
icle safety Data analyses for research on traffic safety Databases Access and processing Source: ESV 201
29 7 ± Bakker, Spitzhüttl et al.: ³,*/$
7 ± Bakker, Spitzhüttl et al.: ³,*/$' - International harmonized in - GHSWKDF
30 FLGHQWGDWD´ 13 ï¢ 0 ... ï¢ n
FLGHQWGDWD´ 13 ï¢ 0 ... ï¢ n ± regression coefficients x 1 ... x n ± independent variable
31 s Mathematical models ± Injury Risk Fu
s Mathematical models ± Injury Risk Functions (IRF); example: pedestrians in car accidents Application
32 s in Traffic accident research to improv
s in Traffic accident research to improve vehicle safety Data analyses for research on traffic safety p
33 (slightly injured) = 28 % p (seriously
(slightly injured) = 28 % p (seriously injured) = 34 % p (slightly injured) = 46 % p (fatally injured)
34 = 21 % p (seriously injured) = 33 % p (
= 21 % p (seriously injured) = 33 % p (fatally injured) = 38 % Real accident: v coll = 50 km/h Acciden
35 t with system (e.g. AEB): v coll = 40
t with system (e.g. AEB): v coll = 40 km/h 14 Mathematical models ± Injury Risk Functions (IRF ) Mul
36 tidimensional Applications in Traffic ac
tidimensional Applications in Traffic accident research to improve vehicle safety Data analyses for rese