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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …