Long-term vehicle speed prediction via historical traffic data analysis for improved energy efficiency of connected electric vehicles
Connected and automated vehicles (CAVs) are expected to provide enhanced safety,
mobility, and energy efficiency. While abundant evidence has been accumulated showing …
mobility, and energy efficiency. While abundant evidence has been accumulated showing …
Long-term prediction of vehicle trajectory using recurrent neural networks
A Benterki, V Judalet, M Choubeila… - IECON 2019-45th …, 2019 - ieeexplore.ieee.org
The expectations regarding autonomous vehicles are very high to transform the future
mobility and ensure more road safety. Autonomous driving system should be able in the …
mobility and ensure more road safety. Autonomous driving system should be able in the …
[HTML][HTML] Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles
BP Adedeji - Results in Engineering, 2023 - Elsevier
This study contains a survey on the architecture of electric vehicles and an artificial neural
network application for prediction of energy consumption in all-electric vehicles. In this study …
network application for prediction of energy consumption in all-electric vehicles. In this study …
A CNN-Bi_LSTM parallel network approach for train travel time prediction
Convolutional neural networks (CNNs) offer a broad technical framework to deal with spatial
feature extraction and nonlinearity capture, whereas they cannot process sequence data …
feature extraction and nonlinearity capture, whereas they cannot process sequence data …
Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework
Z Feng, J Zhang, H Jiang, X Yao, Y Qian, H Zhang - Energy, 2024 - Elsevier
As the market share of electric vehicles (EVs) continues to grow, driving range capability has
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …
emerged as a primary concern for drivers, car manufacturers, and policymakers. Accurate …
Predictability of vehicle fuel consumption using LSTM: Findings from field experiments
G Wang, L Zhang, Z Xu, R Wang, SM Hina… - … Engineering, Part A …, 2023 - ascelibrary.org
It has been well-recognized that driving behaviors significantly impact the fuel consumption
of vehicles. To explore how well deep learning methods can predict fuel consumption …
of vehicles. To explore how well deep learning methods can predict fuel consumption …
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 …
research. It can contribute to vehicle energy saving and safety assistant driving, route …
Energy consumption analysis and prediction of electric vehicles based on real-world driving data
J Zhang, Z Wang, P Liu, Z Zhang - Applied Energy, 2020 - Elsevier
With increasing mass-adoption of electric vehicles, the energy consumption has become a
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …
key performance index to electric vehicle drivers, automakers and policy-makers. Accurate …
Interpretable bus energy consumption model with minimal input variables considering powertrain types
This study aims to build an interpretable energy model for urban buses considering
powertrain types to serve bus operators with minimal variables and simple structure, in …
powertrain types to serve bus operators with minimal variables and simple structure, in …
Online vehicle velocity prediction using an adaptive radial basis function neural network
J Hou, D Yao, F Wu, J Shen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In order to improve the performance of predictive energy management strategies (PEMS), a
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …
novel neural network based vehicle velocity prediction strategy (NN-VVP) was proposed …