Flexible strain sensors that mimic the properties of human skin have recently attracted tremendous attention. However, integrating multiple functions into one sensor, e.g., stretchability, full-range motion response, and self-healing capability, is still an enormous challenge. Herein, a skin-like sensor was presented by construction hierarchically structured carbon nanofibers (CNFs), followed encapsulation elastic polyurethane (PU). The hierarchical sensing structure composed diversified...

Uncertain emergency events are inevitable and occur unpredictably on the highway. Emergencies with lane capacity drops cause local congestion can even a second accident if response is not timely. To address this problem, self-triggered variable speed limit (VSL) intelligent decision-making control strategy based improved deep deterministic policy gradient (DDPG) algorithm proposed, which eliminate or alleviate in timely manner. The action noise parameter introduced to improve exploration...

Moving bottlenecks, characterized by their high frequency and unpredictability, pose significant challenges to timely response management, often resulting in road congestion increased risk of traffic accidents. To address these issues, this paper proposes an adaptive event-triggered variable speed limit (AET-VSL) method based on a state compensation model, which emphasizes the concept symmetry optimization multi-segment limits. This approach facilitates balanced efficient control strategy...

Abstract With the development of autonomous car, a vehicle is capable to sense its environment more precisely. That allows improved drving behavior decision strategy be used for safety and effectiveness in complex scenarios. In this paper, making framework based on hierarchical state machine proposed with top-down structure three-layer finite system. The upper layer classifies driving scenario relative position surrounding vehicles. middle judges optimal according energy efficiency function...

Abstract For sustainable wearable applications, triboelectric nanogenerators (TENGs) should have the features of flexibility, robustness, biocompatibility, and integration. this purpose, flexible TENGs were proposed using thermoplastic polyurethane (TPU) film with a porous structure multi‐walled carbon nanotubes (MWCNT) was incorporated to enhance output performance by forming microcapatitors. The conductive fabric embedded in friction layer as electrodes, convenient for integration wearing....

Fast road emergency response can minimize the losses caused by traffic accidents. However, rescue on urban arterial roads is faced with high probability of congestion accidents, which makes planning path complicated. This paper proposes a refined method for vehicles congested during Firstly, environment based Markov decision process established, focuses architecture roads, taking efficiency and vehicle queue length into consideration planning; then, prioritized experience replay deep...

MEMS accelerometers are significantly impacted by temperature and noise, leading to a considerable compromise in their accuracy. In response this challenge, we propose parallel denoising compensation fusion algorithm for based on RLMD-SE-TFPF GRU-attention. Firstly, utilize robust local mean decomposition (RLMD) decompose the output signal of accelerometer into series product function (PF) signals residual signal. Secondly, employ sample entropy (SE) classify decomposed signals, categorizing...

Abstract Rapid rescue response has the highest priority in case of emergency randomly happening on freeway network, which allows vehicles to have many trajectory options. Searching for fastest way is not easy within a short time after traffic accident happens especially mountainous area with special characteristics such as limited capacity, enclosed internal space and so on. Here, road segment model proposed determine smallest covering possible ways. Other than traditional optimal search...

In photothermal treatments (PTTs), normal tissues around cancerous tumors get injured by excessive heat, whereas damaged cancer cells are easily restored stress-induced heat shock proteins (HSPs) at low temperatures. Therefore, to achieve a unique tumor microenvironment (TME), it is imperative increase PTT efficiency and reduce tissue injury adopting appropriate reactive oxygen species (ROS) lipid peroxides (LPO) cross-linked with HSPs. the present research, potential strategy for mild...

In this paper, we investigate traffic bottlenecks, a primary cause of congestion that significantly impacts the overall efficiency networks. To address challenge, multi-segment variable speed limit control strategy is proposed to mitigate moving particularly those on super-long-span bridges. First, an extended macro-traffic flow model, built upon classic MetaNet framework, as state-space model capture critical characteristics long segments, which key contribution paper. Next, fast prediction...

Off-ramp diverging road segment is the preparation area for vehicles driving away from freeway, while it causes more traffic conflicts making a typical safety bottleneck. Focusing on improving safety, Learning-based Model Predictive Control (LMPC) strategy proposed to deal with motion planning of autonomous (AVs) considering dynamic behavior surrounding occupants in this area. The traditional MPC combined reinforcement learning (RL) method impose constraints limitations ensure reducing...

Toll-gates are crucial points of management and key congestion bottleneck for the freeway. In order to avoid traffic deterioration alleviate in advance, it is necessary predict evaluate toll-gates scattering large-scale region freeway network. this paper, volume operational delay time selected from various indicators considering particular characteristics flow within toll-gate area. The prediction method designed including two modules: a deep learning (DL) fuzzy evaluation. We propose...

Fast and reliable evaluation of regional traffic congestion is beneficial to more effective control. Based on data accumulation in modern society, data-driven methods are proposed. However, it still not easy process the raw an interpretable level practical applications. In this article, GPS obtained from floating cars covering a large scale region Xi'an, China. To link original spatiotemporal relationship driving behaviour, pre-processing method with specified time–frequency rules Through...

Allocation and dispatching strategies of rescue vehicles in emergency situation on the freeway are investigated this paper. Three steps proposed for to arrive traffic accident point as fast possible. Firstly, level cataloged based severity other influencing factors. Then, which types how many required specific according corresponding level. Finally, three methods verified a case study. This paper selected randomly happened Hanning Freeway Shaanxi Province The result shows application study...

This paper deals with a fault detection observer design problem for multi models only unique observer, using the worst-case sensitivity measure, H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-</sub> index, and disturbance robustness xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> norm. The criteria of /H can be formulated as constrained optimization problem, which solved by nonsmooth method. By adding constraint eigenvalues, proposed...

In recent years, with the gradual development of artificial intelligence, as one important branch applications, intelligent transportation is also developing rapidly, and research autonomous vehicles has attracted more attention. With increase in vehicle ownership road congestion, improvement efficiency always been an urgent problem. vehicles, impact application on travel become subject. This article uses sumo to build urban network simulate real scenes, study traffic flow by controlling...

Whisper speaker recognition (WSR) has received extensive attention from researchers in recent years, and it plays an important role medical, judicial, other fields. Among them, the establishment of a whisper dataset is very for study WSR. However, existing suffers problems small number speakers, short speech duration, lack neutral with same-text as whispered same dataset. To address this issue, we present Whisper40, multi-person Chinese WSR containing spanning around 655.90 min sourced...

Variable speed limit (VSL) control is an established yet challenging problem to improve freeway traffic mobility and alleviate bottlenecks by customizing limits at proper locations based on conditions. Recent advances in deep reinforcement learning (DRL) have shown promising results solving VSL problems interacting with sophisticated environments. However, the modeling of these methods ignores inherent graph structure state which can be a key factor for more efficient control. Graph not only...

Fast detection of the trajectory is key point to improve further emergency proposal. Especially for ultra-long highway, prompt labor-intensive. However, automatic relies on accuracy and speed vehicle detection, tracking. In multi-camera surveillance system highways, it often difficult capture same without intervals, which makes re-recognition crucial as well. this paper, we present a framework that includes tracking using improved DeepSORT, re-identification, feature extraction based rules,...

This paper considers an approach about active fault diagnosis with a new framework for closed loop system. Firstly, of is proposed reference model Secondly, different from the traditional design methods, peak amplitude responses auxiliary signal on output, duration system and effects control are to formulate signal. A constrained multi objective optimization problem formulated contain all criteria. At last, practical example DC motor DR300 illustrated validate effectiveness method.