[HTML][HTML] Eco-driving and its impacts on fuel efficiency: An overview of technologies and data-driven methods

P Fafoutellis, EG Mantouka, EI Vlahogianni - Sustainability, 2020 - mdpi.com
Eco-driving is a multidimensional concept that includes driving behavior, route selection and
all other choices or behaviors related to the vehicles' fuel consumption (eg, the use of quality …

Energy consumption prediction using machine learning; a review

A Mosavi, A Bahmani - 2019 - preprints.org
Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

A novel hybrid method for flight departure delay prediction using Random Forest Regression and Maximal Information Coefficient

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 …

Human-lead-platooning cooperative adaptive cruise control

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 …

Impact of driver behavior on fuel consumption: Classification, evaluation and prediction using machine learning

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 …

Vehicle fuel consumption prediction method based on driving behavior data collected from smartphones

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 …

Smart-contract-based economical platooning in blockchain-enabled urban internet of vehicles

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 …

Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging

J Zhang, TQ Tang, Y Yan, X Qu - Applied Energy, 2021 - Elsevier
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 …

[HTML][HTML] 智能网联汽车协同生态驾驶策略综述

杨澜, 赵祥模, 吴国垣, 徐志刚, 惠飞, 郝鹏… - 交通运输工程 …, 2020 - transport.chd.edu.cn
为了跟踪近年来智能网联汽车(CAV) 协同生态驾驶策略的研究进展, 分析了车辆, 驾驶行为,
交通网络和社会这4 类因素对CAV 能耗的影响程度, 以车辆, 基础设施和旅行者为对象对目前 …

Field experiments on longitudinal characteristics of human driver behavior following an autonomous vehicle

X Zhao, Z Wang, Z Xu, Y Wang, X Li, X Qu - Transportation research part C …, 2020 - Elsevier
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 …