A study of bicyclist kinematics and injuries based on reconstruction of passenger car-bicycle accident in China
Artikel i vetenskaplig tidskrift, 2014

Like pedestrians, bicyclists are vulnerable road users, representing a population with a high risk of fatal and severe injuries in traffic accidents as they are unprotected during vehicle collisions. The objective of this study is to investigate the kinematics response of bicyclists and the correlation of the injury severity with vehicle impact speed. Twenty-four car-bicyclist cases with detailed information were selected for accident reconstruction using mathematical models, which was implemented in the MADYMO program. The dynamic response of bicyclists in the typical impact configuration and the correlation of head impact conditions were analyzed and discussed with respect to the head impact speed, time of head impact and impact angle of bicyclists to vehicle impact speed. Furthermore, the injury distribution of bicyclists and the risk of head injuries and fractures of lower limbs were investigated in terms of vehicle impact speed. The results indicate that wrap-around distance (WAD), head impact speed, time of head impact, head impact angle, and throw-out distance (TOD) of the bicyclists have a strong relationship with vehicle impact speed. The vehicle impact speed corresponding to a 50% probability of head AIS 2+ injuries, head AIS 3+ injuries, and lower limb fracture risk for bicyclists is 53.8 km/h, 58.9 km/h, and 41.2 km/h, respectively. A higher vehicle impact speed produces a higher injury risk to bicyclist. The results could provide background knowledge for the establishment or modification of pedestrian regulations considering bicyclist protection as well as being helpful for developing safety measures and protection devices for bicyclists.



pedestrian accidents


Accident reconstruction

Traffic injury


Dynamic responses


Jin Nie

Hunan University

Jikuang Yang

SAFER, Fordons- och trafiksäkerhetscentrum

Chalmers, Tillämpad mekanik, Fordonssäkerhet

Accident Analysis and Prevention

0001-4575 (ISSN)

Vol. 71 50-59





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