Results 71 to 80 of about 9,216,131 (297)

Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning

open access: yesJournal of Advanced Transportation, 2020
The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. The proposed framework enables learning the reward function, which is represented by a fully connected
Yang Zhou, Rui Fu, Chang Wang
doaj   +1 more source

Understanding Driver Car-Following Behavior Using a Fuzzy Logic Car-Following Model

open access: yes, 2012
Recently, automatic systems that control driving speeds and headway distances while following a vehicle have been developed worldwide. Some products, such as adaptive cruise control systems, have already been installed in upper segments of passenger vehicles.
Toshihisa Sato, Motoyuki Akamatsu
openaire   +2 more sources

Yeast Gcn2 retains activity following humanization of its auto‐phosphorylation region

open access: yesFEBS Open Bio, EarlyView.
Using Saccharomyces cerevisiae as a model to study Gcn2 activation and regulation is limited by the lack of antibodies detecting phosphorylated Gcn2. To overcome this, we engineered Gcn2‐HsC, a yeast Gcn2 variant recognizable by commercial anti‐human phospho‐GCN2 antibodies.
Reuben A. Anderson   +2 more
wiley   +1 more source

Subcritical Hopf bifurcations in a car-following model with reaction-time delay [PDF]

open access: yes, 2005
A nonlinear car-following model of highway traffic is considered, which includes the reaction-time delay of drivers. Linear stability analysis shows that the uniform flow equilibrium of the system loses its stability via Hopf bifurcations and thus ...
Orosz, G, Stepan, G
core  

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

open access: yesFEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph   +7 more
wiley   +1 more source

Neurovascular Contacts in the Pathophysiology of Neuralgic Amyotrophy: An Observational Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuralgic amyotrophy (NA) is a prevalent, monophasic, multifocal immune‐mediated neuropathy. A distinctive characteristic of the disease is the occurrence of nerve or fascicle constrictions and torsions (NA‐associated focal nerve lesions, NAFL). The pathophysiology underlying this phenomenon remains to be fully elucidated.
Johannes Fabian Holle   +4 more
wiley   +1 more source

Unsupervised Learning of Fine-Grained and Explainable Driving Style Representations from Car-Following Trajectories

open access: yesApplied Sciences
Fine-grained modeling of driving styles is critical for decision making in autonomous driving. However, existing methods are constrained by the high cost of manual labeling and a lack of interpretability.
Jinyue Yu, Zhiqiang Sun, Chengcheng Yu
doaj   +1 more source

Long‐Term Efficacy of Immunotherapy in Autoimmune Autonomic Ganglionopathy—A 10‐Year Follow Up Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune autonomic ganglionopathy (AAG) is a rare but potentially treatable cause of severe autonomic failure. Evidence guiding long‐term immunotherapy, treatment sequencing, and residual autonomic impairment is limited. We evaluated long‐term treatment response, residual autonomic dysfunction, and relapse patterns in patients with
Giacomo Chiaro   +6 more
wiley   +1 more source

Fusion Modeling Method of Car-Following Characteristics

open access: yesIEEE Access, 2019
Car-following model is indispensable to evaluate the characteristics of car-following behaviors. Through an analysis and comparison of data-driven and theoretically driven car-following models, it shows that the data-driven model has poor ...
Yufang Li   +3 more
doaj   +1 more source

CAR Informe anual 1983

open access: yes, 1983
Le ha correspondido, a la corporación CAR, durante este tiempo una etapa particularmente dinámica e interesante. La Corporación había venido consolidándose como entidad líder en la región y modelo de entidades similares.
Corporación Autónoma Regional de Cundinamarca – CAR
core  

Home - About - Disclaimer - Privacy