TY - GEN
T1 - Prospective analysis-method for estimating the effect of advanced driver assistance systems on property damage
AU - Gschwendtner, K.
AU - Lienkamp, M.
AU - Kiss, M.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/14
Y1 - 2014/11/14
N2 - The evaluation of driver assistance systems concerning the influence on potential property damage may only be performed retrospective at this time. This paper shows a methodology which allows the prospective evaluation of field effectiveness of driver assistance systems as to property damage. A reconstruction is performed based on real-world accident data collected in accident research. Subsequently, a re-simulation of the accident is performed using driver assistance system algorithms. Preference should be given algorithms of future assistance systems. The re-simulation with virtual equipment with an assistance system will produce modified accident parameters. These parameters will be evaluated by means of a novel property damage risk function. This function allows to derive the changes in repair costs and therefore customer value. On one hand, damage is completely prevented, on the other hand the extent of damage is reduced. Both effects may result in a purchasing incentive for the customer and thus contribute to increased traffic safety.
AB - The evaluation of driver assistance systems concerning the influence on potential property damage may only be performed retrospective at this time. This paper shows a methodology which allows the prospective evaluation of field effectiveness of driver assistance systems as to property damage. A reconstruction is performed based on real-world accident data collected in accident research. Subsequently, a re-simulation of the accident is performed using driver assistance system algorithms. Preference should be given algorithms of future assistance systems. The re-simulation with virtual equipment with an assistance system will produce modified accident parameters. These parameters will be evaluated by means of a novel property damage risk function. This function allows to derive the changes in repair costs and therefore customer value. On one hand, damage is completely prevented, on the other hand the extent of damage is reduced. Both effects may result in a purchasing incentive for the customer and thus contribute to increased traffic safety.
KW - Driver Assistance System potential
KW - In-Depth Property Damage Analysis
KW - damage rating
KW - field effectiveness
KW - property damage risk function
KW - prospective evaluation
UR - http://www.scopus.com/inward/record.url?scp=84937139090&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2014.6957719
DO - 10.1109/ITSC.2014.6957719
M3 - Conference contribution
AN - SCOPUS:84937139090
T3 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
SP - 372
EP - 377
BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Y2 - 8 October 2014 through 11 October 2014
ER -