Abstract Machine learning (ML) methods has recently contributed very well in the advancement of the prediction models used for energy consumption. Such models highly …
Z Guo, B Yu, M Hao, W Wang, Y Jiang… - Aerospace Science and …, 2021 - Elsevier
Flight departure delay prediction is one of the most critical components of intelligent aviation systems. The accurate prediction of flight departure delays can provide passengers with …
Y Zhang, Z Wu, Y Zhang, Z Shang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this study, a Human-Lead-Platoon CACC ((HLP-CACC) controller is proposed for connected and automated vehicles to “include” human drivers in platooning process. The …
P Ping, W Qin, Y Xu, C Miyajima, K Takeda - IEEE access, 2019 - ieeexplore.ieee.org
Driving behavior has a large impact on vehicle fuel consumption. Dedicated study on the relationship between the driving behavior and fuel consumption can contribute to …
Y Yao, X Zhao, C Liu, J Rong, Y Zhang… - Journal of Advanced …, 2020 - Wiley Online Library
Transportation is an important factor that affects energy consumption, and driving behavior is one of the main factors affecting vehicle fuel consumption. The purpose of this paper is to …
C Chen, T Xiao, T Qiu, N Lv… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To improve the urban traffic condition and reduce accidents, we propose a platoon-driving model for autonomous vehicles in a free-flow traffic state in this article. This model allows …
Electric vehicles have been well recognized by many as a solution to reduce greenhouse emissions, improve mobility, and decrease energy consumption in the transportation system …
Although mixed traffic, including both autonomous vehicles (AV) and human-driven vehicles (HV), is expected to prevail in the foreseeable future, our current understanding of the …