[HTML][HTML] A comprehensive survey of driving monitoring and assistance systems

MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

Fundamentals of energy efficient driving for combustion engine and electric vehicles: An optimal control perspective

J Han, A Vahidi, A Sciarretta - Automatica, 2019 - Elsevier
This paper formulates energy efficient driving of gasoline and electric powered vehicles as
optimal control problems of various complexity. We show minimizing aerodynamic drag can …

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 …

A learning-based personalized driver model using bounded generalized Gaussian mixture models

W Wang, J Xi, JK Hedrick - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Individual driver's driving behavior plays a pivotal role in personalized driver assistance
systems. Gaussian mixture models (GMM) have been widely used to fit driving data, but …

Feedback strategy with delay in a two-route traffic network

JY Zeng, H Ou, TQ Tang - Physica A: Statistical Mechanics and Its …, 2019 - Elsevier
Most feedback strategies (FSs) have feedback delay, but little effort has been made to study
this topic. In this paper, we incorporate the feedback delay into the mean velocity feedback …

Evaluation of driver's eco-driving skills based on fuzzy logic model–A realistic example of vehicle operation in real-world conditions

M Stokic - Journal of Applied Engineering Science, 2019 - aseestant.ceon.rs
It is well known that fuzzy logic is a processing tool in circumstances lacking of clear
linguistic information, as well as making conclusions based on imprecise assertions and …

A case study in China to determine whether GPS data and derivative indicator can be used to identify risky drivers

R Fu, T Liu, Y Guo, S Zhang… - Journal of Advanced …, 2019 - Wiley Online Library
This paper presents an investigation of the relationship between driver risk and factors
indicating vehicle's speed and driver's acceleration behavior. The main objective is to …

[PDF][PDF] 基于驾驶意图识别的多模耦合驱动系统能量管理

张利鹏, 贾启康, 刘威, 赵玉勤 - 机械工程学报, 2019 - qikan.cmes.org
匹配多模耦合驱动系统可以使插电式混合动力汽车具备高效的集中式与分布式耦合驱动功能,
但基于该系统所开展的整车经济性研究尚且不足. 为降低整车能耗, 开展基于驾驶意图识别的 …

Real-time prediction of arterial vehicle trajectories: An application to predictive route guidance for an emergency vehicle

S Choi, J Kim, H Yu, H Yeo - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Urban arterial networks are increasingly equipped with advanced roadside sensors that can
track spatiotemporal trajectories of individual vehicles such as Bluetooth sensors. A large …

[PDF][PDF] Energy management of multi-mode coupling drive system based on driver intention recognition

张利鹏, 贾启康, 刘威, 赵玉勤 - Journal of Mechanical Engineering, 2019 - qikan.cmes.org
The matched multi-mode coupling drive system can make the plug-in hybrid vehicle have
high-efficiency centralized and distributed coupling drive functions, but the research on the …