A cooperative driving strategy based on velocity prediction for connected vehicles with robust path-following control

Y Chen, C Lu, W Chu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
vehicles. This article proposes a cooperative driving strategy for the connected vehicles by
integrating vehicle velocity prediction, … the autonomous vehicle and the nearby vehicle. With …

Optimal velocity prediction for fuel economy improvement of connected vehicles

B Barik, P Krishna Bhat, J Oncken… - IET Intelligent …, 2018 - Wiley Online Library
… every vehicle co-operates by sharing the information with its neighbour and surrounding
vehicles… algorithm for the optimisation of the vehicle velocity profile to demonstrate the benefit of …

Velocity prediction of intelligent and connected vehicles for a traffic light distance on the urban road

W Zhou, L Yang, T Ying, J Yuan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
… is hard to predict the vehicle velocity accurately on the urban road. In this paper, we present
a novel vehicle velocity prediction algorithm for intelligent and connected vehicles based on …

Stochastic Velocity Prediction for Connected Vehicles Considering V2V Communication Interruption

L Wang, F Zhang, Y Cui, S Coskun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
… CONCLUSION AND FUTURE WORK This paper proposes a stochastic velocity prediction
method for connected vehicles considering V2V communication interruption. The missing data …

Vehicle speed prediction for connected and autonomous vehicles using communication and perception

B Suh, Y Shao, Z Sun - 2020 American Control Conference …, 2020 - ieeexplore.ieee.org
prediction of queue length [6], [9] at intersections. However, researchers usually assume all
vehicles are connected vehicles … in free flow (maintaining a constant velocity at around 25 m/s…

Motion prediction of human-driven vehicles in mixed traffic with connected autonomous vehicles

L Zhang, E Tseng - 2020 American Control Conference (ACC), 2020 - ieeexplore.ieee.org
prediction presented in Section II to the connected vehicle chain shown in Fig. 3, and then
we evaluate how the RLS prediction … messages from vehicle 0, we apply the constant velocity/…

Personalized vehicle trajectory prediction based on joint time-series modeling for connected vehicles

Y Xing, C Lv, D Cao - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… Based on the most publicly available data that is allowed to be transferred through vehicles,
vehicle velocity, acceleration, space headway, and time headway were extracted. Moreover, …

Toward safe and smart mobility: Energy-aware deep learning for driving behavior analysis and prediction of connected vehicles

Y Xing, C Lv, X Mo, Z Hu, C Huang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… Considering these aspects, in this study, an energy-aware vehicle motion (ie, the trajectory
and velocity) prediction model based on a deep learning method is proposed. An illustration …

Vehicle trajectory prediction and cut-in collision warning model in a connected vehicle environment

N Lyu, J Wen, Z Duan, C Wu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
… driving data from a real-world connected vehicle testbed. Wali et al. [14] … improvement made
by connected vehicle technologies in … The longitudinal velocity of the target vehicle vx (t) was …

Eco-driving of connected and autonomous vehicles with sequence-to-sequence prediction of target vehicle velocity

S Gupta, M Canova - IFAC-PapersOnLine, 2021 - Elsevier
… target vehicle, particularly near intersections. In this work, the target vehicle velocity predicted
by … One way to incorporate target vehicle velocity information into the Eco-Driving controller …