Title :
Obtain a simulation model of a pedestrian collision imminent braking system based on the vehicle testing data
Author :
Bo Tang ; Chien, Stanley ; Chen, Yuanfeng
Author_Institution :
Transp. Active Safety Inst., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
Forward pedestrian collision imminent braking (CIB) systems has proven to be of great significance in improving road safety and protecting pedestrians. Since pedestrian CIB technology is not mature, the performance of different pedestrian CIB systems varies significantly. Therefore the simulation of a CIB system needs to be vehicle specific. The CIB simulation can be based on the component sensor parameters and decision making rules. Since these parameters and decision rules for on the market vehicles are not available outside of vehicle manufactures, it is difficult for the general research communities to develop a good CIB simulation model based on this approach. To solve this problem, this study presents a new method for developing a pedestrian CIB simulation model using pedestrian CIB testing data. The implementation was in PreScan. The simulation results demonstrate that a pedestrian CIB simulation model developed using this methodology could reflect the behavior of a real vehicle equipped with pedestrian CIB system.
Keywords :
braking; decision making; pedestrians; road accidents; road safety; road vehicles; CIB simulation model; CIB system; component sensor parameters; decision making rules; pedestrian collision imminent braking system; road safety; vehicle testing data; Classification algorithms; Data models; Decision making; Mathematical model; Radar detection; Testing; Vehicles; Pedestrian CIB simulation model; Pedestrian Collision Imminent Breaking System;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957930