62 research outputs found
An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries
Information Flow Topology in Mixed Traffic: A Comparative Study between "Looking Ahead" and "Looking Behind"
The emergence of connected and automated vehicles (CAVs) promises smoother
traffic flow. In mixed traffic where human-driven vehicles (HDVs) also exist,
existing research mostly focuses on "looking ahead" (i.e., the CAVs receive
information from preceding vehicles) strategies for CAVs, while recent work
reveals that "looking behind" (i.e., the CAVs receive information from their
rear vehicles) strategies might provide more possibilities for CAV longitudinal
control. This paper presents a comparative study between these two types of
information flow topology (IFT) from the string stability perspective, with the
role of maximum platoon size (MPS) also under investigation. Precisely, we
provide a dynamical modeling framework for the mixed platoon under the
multi-predecessor-following (MPF) topology and the multi-successor-leading
(MSL) topology. Then, a unified method for string stability analysis is
presented, with explicit consideration of both IFT and MPS. Numerical results
suggest that MSL ("looking behind") outperforms MPF ("looking ahead" ) in
mitigating traffic perturbations. In addition, increasing MPS could further
improve string stability of mixed traffic flow.Comment: This paper has been accepted by 26th IEEE International Conference on
Intelligent Transportation Systems ITSC 202
Experimental Validation of DeeP-LCC for Dissipating Stop-and-Go Waves in Mixed Traffic
We present results on the experimental validation of leading cruise control
(LCC) for connected and autonomous vehicles (CAVs). In a mixed traffic
situation that is dominated by human-driven vehicles, LCC strategies are
promising to smooth undesirable stop-and-go waves. Our experiments are carried
out on a mini-scale traffic platform. We first reproduce stop-and-go traffic
waves in a miniature scale, and then show that these traffic instabilities can
be dissipated by one or a few CAVs that utilize Data-EnablEd Predicted Leading
Cruise Control (DeeP-LCC). Rather than identifying a parametric traffic model,
DeeP-LCC relies on a data-driven non-parametric behavior representation for
traffic prediction and CAV control. DeeP-LCC also incorporates input and output
constraints to achieve collision-free guarantees for CAVs. We experimentally
demonstrate that DeeP-LCC is able to dissipate traffic waves caused by
car-following behavior and significantly improve both driving safety and travel
efficiency. CAVs utilizing DeeP-LCC may bring additional societal benefits by
mitigating stop-and-go waves in practical traffic.Comment: 8 pages, 6 figure
Metformin Uniquely Prevents Thrombosis by Inhibiting Platelet Activation and mtDNA Release
Thrombosis and its complications are the leading cause of death in patients with diabetes. Metformin, a first-line therapy for type 2 diabetes, is the only drug demonstrated to reduce cardiovascular complications in diabetic patients. However, whether metformin can effectively prevent thrombosis and its potential mechanism of action is unknown. Here we show, metformin prevents both venous and arterial thrombosis with no significant prolonged bleeding time by inhibiting platelet activation and extracellular mitochondrial DNA (mtDNA) release. Specifically, metformin inhibits mitochondrial complex I and thereby protects mitochondrial function, reduces activated platelet-induced mitochondrial hyperpolarization, reactive oxygen species overload and associated membrane damage. In mitochondrial function assays designed to detect amounts of extracellular mtDNA, we found that metformin prevents mtDNA release. This study also demonstrated that mtDNA induces platelet activation through a DC-SIGN dependent pathway. Metformin exemplifies a promising new class of antiplatelet agents that are highly effective at inhibiting platelet activation by decreasing the release of free mtDNA, which induces platelet activation in a DC-SIGN-dependent manner. This study has established a novel therapeutic strategy and molecular target for thrombotic diseases, especially for thrombotic complications of diabetes mellitus
Leading Cruise Control in Mixed Traffic Flow
Vehicle-to-vehicle (V2V) communications have a great potential to improve
traffic system performance. Most existing work of connected and autonomous
vehicles (CAVs) focused on adaptation to downstream traffic conditions,
neglecting the impact of CAVs' behaviors on upstream traffic flow. In this
paper, we introduce a notion of Leading Cruise Control (LCC) that retains the
basic car-following operation and explicitly considers the influence of the
CAV's actions on the vehicles behind. We first present a detailed modeling
process for LCC. Then, rigorous controllability analysis verifies the
feasibility of exploiting the CAV as a leader to actively lead the motion of
its following vehicles. Besides, the head-to-tail transfer function is derived
for LCC under adequate employment of V2V connectivity. Numerical studies
confirm the potential of LCC to strengthen the capability of CAVs in
suppressing traffic instabilities and smoothing traffic flow.Comment: Accepted by the 59th IEEE Conference on Decision and Control (CDC
2020); 7 pages, 5 figure
Study on the Influence of Seismic Wave Parameters on the Dynamic Response of Anti-Dip Bedding Rock Slopes under Three-Dimensional Conditions
As a result of earthquakes, the deformation and failure caused by anti-dip bedding rock slopes are large, and their seismic dynamic response law is complex. Using the three-dimensional discrete element numerical analysis software 3DEC, the influence of seismic wave parameters on the dynamic response of anti-dip bedding rock slopes was systematically studied, with special focus on the influence of the angle between seismic wave incidence direction and slope trend on the dynamic response of anti-dip bedding rock slopes under three-dimensional conditions. The orthogonal test was designed to conduct sensitivity analysis of five seismic parameters, including seismic wave amplitude, incidence angle of the S-wave, frequency, duration, and the time difference between the P-wave’s and the S-wave’s peak. The results revealed that the S-wave’s amplitude As and the holding time T of the seismic wave are positively correlated with the acceleration amplification factor of the slope, and the incident direction γ of the S-wave is negatively correlated with the acceleration amplification factor of the slope. The increase of seismic wave frequency f and the time difference Δt between the P-wave’s and the S-wave’s peak lead to the first increase and then decrease of the Y-directional displacement of the slope. The sensitivity of each seismic wave parameter to the Y-directional acceleration amplification factor at the shoulder of anti-dip bedding rock slopes in earthquake conditions is ordered as follows: S-wave’s amplitude As > frequency f > S-wave’s incidence angle γ > the time difference Δt > holding time T. the study results provide reference and basis for stability evaluation and engineering design of anti-dip bedding rock slopes in areas with high seismic intensity
Initiation and propagation of spherical premixed flames with inert solid particles
Combustion Theory and Modelling244606-63
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