Title :
Trajectory planning of overtaking for intelligent vehicle based on X-Sin function
Author :
Shasha Zhang ; Wei Liu ; Bichun Li ; Runxin Niu ; Huawei Liang
Author_Institution :
Dept. of Precision Machinery & Precision Instrum., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
One of the common phenomenon on the road is overtaking. Traffic accidents caused by overtaking account for about fifteen percents of the total. Important reasons to the frequent occurrence of overtaking accidents are the improper selection of overtaking time and misoperation. With the development of intelligent vehicle technologies, these issues can be well solved [1]. One of the prerequisite to achieve intelligent vehicle overtaking behavior is overtaking trajectory planning. This paper analyze the method of overtaking trajectory planning on unidirectional two-lane road. We establish X-Sin function overtaking trajectory model and evaluate this model by introducing curvature, road width, and the maximum lateral acceleration as parameters. MATLAB simulation results show that X-Sin function overtaking trajectory can solve some insufficient of existing lane changing model [2]. At last, we get the conclusion that X-Sin function overtaking trajectory is close to real overtaking situation through comparing the results of MATLAB simulation and real vehicle test. Therefore, our study can rapidly provide a safe trajectory for the process of intelligent vehicle overtaking maneuver.
Keywords :
intelligent transportation systems; mathematics computing; road accidents; road vehicles; trajectory control; MATLAB simulation; X-Sin function; intelligent vehicle; intelligent vehicle technologies; overtaking accidents; overtaking behavior; safe trajectory; trajectory planning; unidirectional two-lane road; Acceleration; Intelligent vehicles; MATLAB; Mathematical model; Planning; Trajectory; Vehicles; Intelligent vehicle; X-Sin function; overtaking; trajectory planning;
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
DOI :
10.1109/ICMA.2014.6885768