Cooperative collision warning system design at intersections based on trajectory prediction and conflict risk evaluation Online publication date: Thu, 05-May-2022
by Lin Zhang; Jiabei Gao; Lina Lan; Bin Li; Haobo Sun
International Journal of Vehicle Design (IJVD), Vol. 87, No. 1/2/3/4, 2021
Abstract: A novel cooperative collision warning system (CCWS) based on trajectory prediction and conflict risk evaluation is proposed to guarantee driving safety at intersections. First, a vehicle kinematics model is introduced based on the constant acceleration model, turn rate and acceleration model respectively. The extended Kalman filtering (EKF) is applied to integrate the signal of global position system (GPS) and on-board vehicle sensors and filter the noise data of both to realise the real-time estimation of vehicle position. Then, based on the intersection's road geometry information, a cubic parabola model is established to simulate the driver's future manoeuvres. Considering the prediction uncertainty, the Gaussian process regression (GPR) is used to fit the vehicle's trajectory within 0-2 s in the future and further deduce the vehicle trajectory of the next 2-2.5 s. Simulation results show that the proposed algorithm has a higher precision of trajectory prediction.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook