The influence of passenger car front shape on pedestrian injury risk observed from German in-depth accident data.
Quantified relationships between passenger car front shape and pedestrian injury risk derived from accident data are sparse, especially considering the significant recent changes in car front design. The purpose of this paper is therefore to investigate the detailed effects of passenger car front shape on injury risk to a pedestrian's head, thorax, pelvis and leg in the event of a vehicle pedestrian impact. Firstly, an accident sample of 594 pedestrian cases captured during 2000-2015 from the German In-Depth Accident Study (GIDAS) database was employed. Multicollinearity diagnostic statistics were then used to detect multicollinearity between the predictors. Following this, logistic regression was applied to quantify the effects of passenger car front shape on injury risks while controlling for impact speed and pedestrian age. Results indicate that the bumper lower depth (BLD), bumper lower height (BLH), bumper upper height (BUH) and normalised bumper lower/upper height (NBLH/NBUH) are statistically significant for AIS2+ leg injury risk. The normalised bonnet leading edge height (NBLEH) has a statistically significant influence on AIS2+ femur/pelvis injury occurrence. The passenger car front shape did not show statistical significance for AIS3+ thorax and head injuries. The impact speed and pedestrian age are generally significant factors influencing AIS2+ leg and pelvis injuries, and AIS3+ thorax and head injuries. However, when head impacts are fixed on the central windscreen region both pedestrian age and impact speed are not statistically significant for AIS3+ head injury. For quantified effects, when controlling for speed, age and BUH, an average 7% and 6% increase in AIS2+ leg injury odds was observed for every 1cm increase in BLD and BLH respectively; 1cm increase in BUH results in a 7% decrease in AIS2+ leg injury odds when the BLD or BLH are fixed respectively (again controlling for impact speed and pedestrian age); the average AIS2+ femur/pelvis injury odds increase by 74% for a 10% increase in NBLEH. These findings suggest that passenger car bumpers should support the lower leg with a low and flat lower bumper and even contact up to the femur area with a high upper bumper which extends above the knee to protect the pedestrian's leg. A low passenger car bonnet leading edge helps to reduce femur/pelvis injury risk. The passenger car front shape parameters are less influential than impact speed and pedestrian age for pedestrian injury risk.
School of Automobile and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China; Centre for Bioengineering, Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Ireland. Electronic address: li8747@hotmail.com.
Guibing
G
Li
Edinburgh University School of Medicine, Chancellors Building, Edinburgh Royal Infirmary, Edinburgh, UK.
Mathew
M
Lyons
School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China; Research Center of Vehicle and Traffic Safety (VTS), State Key Lab of Advanced Design and Manufacturing for Vehicle Body, Hunan University, China.
Bingyu
B
Wang
Research Center of Vehicle and Traffic Safety (VTS), State Key Lab of Advanced Design and Manufacturing for Vehicle Body, Hunan University, China; Vehicle Safety Division, Department of Applied Mechanics, Chalmers University of Technology, Sweden.
Jikuang
J
Yang
Accident Research Unit, Medical University of Hannover, Hannover, 30625, Germany.
Dietmar
D
Otte
Centre for Bioengineering, Department of Mechanical and Manufacturing Engineering, Trinity College Dublin, Ireland.
Ciaran
C
Simms
D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001336:Automobiles; D002648:Child; D006259:Craniocerebral Trauma / Q000453:epidemiology*; D016208:Databases, Factual; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D007869:Leg Injuries / Q000453:epidemiology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D000069636:Pedestrians; D010388:Pelvis / Q000293:injuries; D012307:Risk Factors; D013898:Thoracic Injuries / Q000453:epidemiology*; D055815:Young Adult
Logistic regression; Passenger car front shape; Pedestrian accident data; Pedestrian injury risk