Neural network based vehicle speed prediction for specific urban driving

L Zhang, J Zhang, D Liu - 2018 Chinese Automation Congress …, 2018 - ieeexplore.ieee.org
Vehicle speed prediction plays an important role in hybrid and electric vehicle energy
management. However, vehicle speed prediction is influenced by various factors such as …

[HTML][HTML] Energy management strategy based on a novel speed prediction method

J Xing, L Chu, Z Hou, W Sun, Y Zhang - Sensors, 2021 - mdpi.com
Vehicle speed prediction can obtain the future driving status of a vehicle in advance, which
helps to make better decisions for energy management strategies. We propose a novel deep …

An iterative optimization algorithm for vehicle speed prediction considering driving style and historical data effects

H Xie, D Hu, K Song - 2021 40th Chinese Control Conference …, 2021 - ieeexplore.ieee.org
For vehicles, knowledge of the complete route characteristics at the beginning of a trip is
beneficial for improving the driving safety, mobility, and energy efficiency. However …

[HTML][HTML] Dual-input and multi-channel convolutional neural network model for vehicle speed prediction

J Xing, L Chu, C Guo, S Pu, Z Hou - Sensors, 2021 - mdpi.com
With the development of technology, speed prediction has become an important part of
intelligent vehicle control strategies. However, the time-varying and nonlinear nature of …

Long-Short Term Memory-Based Heuristic Adaptive Time-Span Strategy for Vehicle Speed Prediction

Q Geng, Z Liu, B Li, C Zhao, Z Deng - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicle speed prediction plays an important role in vehicle energy saving and safety
research. It can contribute to vehicle energy saving and safety assistant driving, route …

Deep learning based velocity prediction with consideration of road structure

P Fu, L Chu, Z Hou, J Xing, J Gao… - 2021 5th CAA …, 2021 - ieeexplore.ieee.org
Speed prediction of roads is an important part of intelligent transportation system (ITS). Due
to the complexity of the traffic environment, the speed of road is not only related to the …

Vehicle speed prediction with convolutional neural networks for ITS

Y Li, C Wu, T Yoshinaga - 2020 IEEE/CIC International …, 2020 - ieeexplore.ieee.org
Accurate vehicle speed prediction is one of the important issues for achieving advanced
intelligent transportation systems (ITS). There are two main methods for vehicle speed …

Vehicle speed prediction using a convolutional neural network combined with a gated recurrent unit with attention

D Zhang, Z Wang, X Jiao… - Proceedings of the …, 2024 - journals.sagepub.com
Vehicle speed prediction can facilitate many applications, such as optimizing vehicle
propulsion systems and designing advanced driver assistance control systems. In a complex …

Short-term vehicle speed prediction based on convolutional bidirectional lstm networks

S Han, F Zhang, J Xi, Y Ren… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
The optimal control based on the forecast of vehicle speed in the future is of great
significance to vehicle safety system and energy management systems of hybrid electric …

[HTML][HTML] Combined prediction for vehicle speed with fixed route

L Zhang, W Liu, B Qi - Chinese Journal of Mechanical Engineering, 2020 - Springer
Achieving accurate speed prediction provides the most critical support parameter for high-
level energy management of plug-in hybrid electric vehicles. Nowadays, people often drive …