Title :
A partial flexibility model for vehicle following algorithm
Author :
Xingming Wu ; Guanxiong Dai ; Zhiwen Zhao ; Weihai Chen
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
Vehicle following system is a branch of ITS (Intelligent Transportation System). The tacking accuracy is a vital evaluation criterion of the vehicle following system. This paper proposes a partial flexibility model for the vehicle following algorithm to promote the accuracy. We suppose that the follower vehicle is connected to the leader vehicle with a virtual flexible bar with two rigid joints. As the leader vehicle turns from straight line status, the part of the virtual bar which is the closest to leader vehicle bends, while the other parts of the virtual bar are still straight. As a result, the virtual flexible bar fits the trajectory of the leader vehicle and the joint on the follower vehicle forces the follower to go along the trajectory. In this system, we just need to detect the positions of leader vehicle by the sensors which are mounted on the follower. At last, a series of simulations verify that the proposed model has improved the accuracy of vehicle following.
Keywords :
automated highways; bars; road vehicles; sensors; trajectory control; ITS; follower vehicle; intelligent transportation system; leader vehicle; partial flexibility model; sensors; tacking accuracy; vehicle following algorithm; vehicle following system; virtual flexible bar; Accuracy; Conferences; Force; Industrial electronics; Sensors; Trajectory; Vehicles; partial felxibility model; vehilce following;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566365