| The pedestrians are the vulnerable groups in traffic accident. The casualties due to traffic accident account for 25 percent of all deaths. Autonomous Emergency Braking system(AEB) is becoming a more concerned driver-assist system at home and abroad. The role of pedestrian-protection in AEB system has become an important research item that its effectiveness in different traffic condition is the focus problems of social public concern. Data collection and reconstruction research provided the basic data for the test and evaluation of the AEB system. The effectiveness of this pedestrian-protection is forecast and evaluated in AEB system by researching the characteristic of the pedestrian-vehicle accident in China through mass genuine traffic accident. The result will provide the reference for parameter settings in road environment in China in order to improve the design preferably for the pedestrian protection in vehicles.Hence, this article’s data is based on genuine accident, with the help of PC-CRASH and MATLAB:(1)The process in pedestrian-vehicle is analyzed by three aspects which are accident-condition collection, vehicle-information collection and pedestrian-information collection. The method of analyzing pedestrian-vehicle accident is summarized. The collected pedestrian-vehicle accident is conducted its feature analysis through environment condition, vehicle condition and pedestrian condition. And the proper parameters are selected in order to build a typical pedestrian-vehicle condition by using the clustering methodology.(2)The pedestrian-vehicle collision theory is studied. And vehicle model, pedestrian model, multi-body system kinematics, basic equations of collision model and numerical solutions are emphatically analyzed. The collision process of about 30 more pedestrian-vehicle accidents are re-constructed by PC-CRASH in order to receive the motion parameters of the collision of pedestrian-vehicle,the position parameters and obstructions’ position parameters. And the data is exported so as to construct a database which can evaluate the AEB system.(3)The detection apparatus, distinguish analysis module, actuating mechanism and operating principles are conducted to analyze. The process and method of pedestrian virtual evaluating in AEB system are built to achieve the database read, the settings in AEB system and the display of simulation result by human interface evaluating procedure based on MATLAB/GUI.(4)The evaluation indicators of existing pedestrian damage are studied so as to confirm the evaluation indicators’ effectiveness in AEB system. The effectiveness of pedestrian protection is analyzed by studied the detection angle, detection range, braking deceleration, braking lead time based on the accident sample data. The parameters of AEB system are conducted to the simulation research by orthogonal experiment and the key influence parameters are found.The AEB system may lower the MAIS3+ risk and mortality risk to 39.9% and 73.8% respectively due to 20 o detection angle, 30 meters detection radial, 6 m/s deceleration and 1s braking lead time. |
