A few recent developments have demonstrated that deep-learning-based solutions can outperform traditional algorithms for automated pavement crack detection. In this paper, an efficient deep network called CrackNet-V is proposed pixel-level detection on 3D asphalt images. Compared with the original CrackNet, has a deeper architecture but fewer parameters, resulting in improved accuracy and computation efficiency. Inspired by uses invariant spatial size through all layers such supervised...

Abstract A recurrent neural network (RNN) called CrackNet‐R is proposed in the article for fully automated pixel‐level crack detection on three‐dimensional (3D) asphalt pavement surfaces. In article, a new unit, gated multilayer perceptron (GRMLP), to recursively update internal memory of CrackNet‐R. Unlike widely used long short‐term (LSTM) and unit (GRU), GRMLP intended deeper abstractions inputs hidden states by conducting nonlinear transforms at gating units. implements two‐phase...

Objective : We aimed to evaluate the activity of human glymphatic system in type 2 diabetes mellitus (T2DM) using diffusion tensor image analysis along with perivascular space (DTI-ALPS). Methods Diffusion images were acquired calculate diffusivities direction x-axis (right-to-left; Dx), y-axis (anterior-to-posterior; Dy), and z-axis (inferior-to-superior; Dz) plane lateral ventricle body 20 patients 10 people a control group. evaluated diffusivity spaces, as well projection fibers...

Abstract Simultaneous pixel‐level detection of multiple distresses and surface design features on complex asphalt pavements is a critical challenge in intelligent pavement survey. This paper proposes deep‐learning model named ShuttleNet to provide an efficient solution for this by implementing robust semantic segmentation pavements. The proposed aims at repeating the encoding–decoding round freely or even endlessly such that contexts different resolution levels can be learned integrated many...

Skid resistance depends on the macro- and micro-textural characteristics of pavement surface. Mean profile depth (MPD) is a widely used two-dimensional macro-texture indicator calculated from single surface profile, while micro-texture primarily affected by aggregates contained within In this study, twenty-two sites, constructed using six common types preventive treatments eight typical sources in Oklahoma, are selected as field test beds. Pavement skid data collected parallel at highway...

Abstract It is challenging to collect 3D pavement images with desired resolution for accurate texture measurement at driving speeds current devices, particularly in the longitudinal direction. This paper presents a novel superresolution technique recursive generative adversarial network, called Pavement Texture Super Resolution Generative Adversarial Network (PT‐SRGAN), reconstruct 0.1‐mm image from low‐resolution data faster measurement. With proposed pseudo‐Laplacian pyramid and an array...

It is widely recognized that pavement surface texture important for friction and roadway safety. Mean profile depth, the primary index used to characterize macrotexture, a two-dimensional height indicator calculated from single profile, which insufficient represent texture, especially studies. This paper explores five categories of three-dimensional (3-D) areal parameters attributes develops relationship between 3-D parameters. The newly constructed Long-Term Pavement Performance Specific...

Pavement friction and texture characteristics are important to road surface safety. Despite extensive studies conducted in the last decades, relationship between pavement has not been fully understood. This paper implements deep learning (DL) techniques investigate application of data for skid resistance safety analysis. High speed profiles grip tester collected parallel on high treatment (HFST) sites including various types lead-in lead-out sections distributed 12 states United States....

Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing range sensors and techniques, offer an effective method to monitor alert drivers minimize driver error reduce risky driving behaviors, thus helping avoid Safety Critical Events (SCEs) enhance overall safety. Artificial Intelligence (AI) tools, in particular, have been widely investigated improve the efficiency accuracy or analysis SCEs. To better understand state-of-the-art practices potential...

Skid resistance is an important surface characteristic that influences roadway safety. Various studies have been performed to understand the interaction between pavement and tires through numerical simulation for skid prediction. However, friction parameters required inputs are generally determined by objective assumptions. This paper develops a finite element method (FEM)-based framework using in-situ 3D texture data. A areal model reconstructed from high resolution asphalt The exponential...

Maintaining desired pavement friction is an effective way to reduce the crash rate. Pavement texture plays important role in tire-pavement performance. However, contribution of at different depths or wavelengths measurement has not been fully understood. This study conducts a multiresolution analysis using three-dimensional (3D) asphalt data correlate measurements. Between 2014 and 2018, multiple rounds were acquired on two field sites. The top-surface topography 3D sliced with eight explore...

The pavement friction has been recognised as a critical contributor to traffic safety and an important functional characteristic. sideway force coefficient routine investigation machine (SCRIM) used in many studies for evaluation. However, this device is costly purchase run which limits its accessibility transportation agencies. This study explores artificial neural network model predict the (SFC) from SCRIM using micro- macro-texture information. On selected field site, texture was...

Abstract Many studies have concluded that pavement micro- and macro- texture characteristics significant contributions to friction thus roadway safety. This study explores novel three-dimensional (3D) areal parameters represent at both macroscales their usage for prediction. Three rounds of data were collected from 2015 2017 a testing site in Oklahoma with six different mixture designs. Pavement was acquired by Dynamic Friction Tester, the corresponding portable ultrahigh-resolution 3D laser...

Pavement friction and surface texture are crucial for highway safety. Acknowledging the gaps in understanding relationship between pavement texture, this paper introduces a novel deep residual network (ResNets), named Friction-ResNets, tailored prediction based on data sets. The Friction-ResNets architecture consists of 11 convolution layers, 1 average pooling layer, fully-connected layer with millions neurons. Different from convolutional neural networks (CNNs), used as learning framework...

Image-based systems are becoming popular to collect pavement condition data for management activities. Pavement engineers define various distress categories based on types. However, software solutions today have limitations in correctly recognizing types from the collected images an automated way. This paper presents a convolutional neural network (CNN)-based PvmtTPNet automatically recognize at acceptable levels of consistency, accuracy, and high-speed. asphalt concrete pavements, jointed...

Objective: The present study explored whether levetiracetam (LEV) could protect against experimental brain ischemia and enhance angiogenesis in rats, investigated the potential mechanisms vivo vitro . Methods: middle cerebral artery was occluded for 60 min to induce occlusion (MCAO). Morris water maze used measure cognitive ability. rotation test assess locomotor function. T2-weighted MRI infarct volume. neuronal cells cortex area were stained with cresyl purple. anti-inflammatory effects of...

The latest iteration of PaveVision3D Ultra can obtain true 1 mm resolution 3D data at full-lane coverage in all 3 directions highway speed up to 60 mph. This paper introduces the technology for rapid network level pavement survey on approximately 1280 center miles Oklahoma interstate highways. With sophisticated automated distress analyzer (ADA) software interface, collected provide Department Transportation (ODOT) with comprehensive solutions evaluation surface including longitudinal...

Aggregate morphological characteristics can play an important role in aggregate resistance to polishing and degradation. The Imaging System (AIMS) has been one of the most widely used instruments for aggregate-property measurement during last decade. This paper investigated effectiveness a newly developed laser triangulation–based portable three-dimensional (3D) scanner with ultrahigh resolution exploring changes surface 3D before after Micro-Deval abrasion process. typical types produced...

Pavement micro- and macro-texture have significant effects on roadway friction driving safety. The influence of traffic polish pavement texture has been investigated in many laboratory studies. This paper conducts field evaluation under actual polishing using three-dimensional (3D) areal parameters. A portable high-resolution 3D laser scanner measured from a site 2018, 2019, 2020. Then, the data was decomposed to Fourier transform Butterworth filter methods. Twenty parameters five...

Various preventive maintenance (PM) treatments have been employed to restore pavement skid resistance for enhanced safety. This paper investigates the effectiveness of PM using panel data analysis (PDA). Panel differences cross-sectional information among treatments, but also time-series changes within each treatment over time. with multiple years friction four (thin overlay, slurry seal, crack and chip seal) at various climate, traffic, conditions are obtained from 255 long term performance...