An entire roadway system represents a crucial element in the sustainable urban transportation planning process. Pavement surfaces are at continual risk of accumulating serious deteriorations and defects throughout their service life due to traffic loading environmental impact. Since networks growing rapidly, relying on visual pavement inspection is not always feasible. Therefore, this paper proposes an effective assessment method for evaluating flexible surface distresses using terrestrial...

This study aims to use machine learning methods examine the causative factors of significant crashes, focusing on accident type and driver’s age. In this study, a wide-ranging data set from Jeddah city is employed look into various factors, such as whether driver was male or female, where vehicle situated, prevailing weather conditions, efficiency four algorithms, specifically XGBoost, Catboost, LightGBM RandomForest. The results show that XGBoost Model (accuracy 95.4%), CatBoost model (94%...

One of the major problems that cause continual trouble in deep learning networks is training a large network requires massive labelled datasets. The preparation dataset cumbersome task and lot human interventions. This paper proposes novel generator ‘Sim2Real’ transfer recent fast-developing field machine used to bridge gap between simulated real data. Training with datasets often converges due its size but fails generalize real-world applications. Simulated can be train test models, enables...

Vulnerable road users (VRUs) such as pedestrians and bicyclists, also known non-motorists, are vulnerable due to lack of protection in traffic usually sustain the higher injury levels. The objective this study was determine factors that contribute significantly crash severity intersection-related crashes involving motor vehicles VRUs. A three-year data, 2013–2015, from Ohio Department Public Safety utilized for study. logistic stepwise selection procedure applied estimate statistically...

In this study, the variation of shear strength behavior and particle breakage (after shearing), as a function moisture state compaction level, is investigated for recycled concrete aggregate blended with clay masonry. Recycled masonry was in percentages ranging from 0% to 30% by total weight. Tests include; basic engineering characteristics (particle size, modified compaction, hydraulic conductivity, California Bearing Ratio, CBR) well unconsolidated undrained static triaxial testing. tests,...

Road crashes are a major public safety concern in Pakistan. Prior studies Pakistan investigated the impact of different factors on road but did not consider temporal stability crash data. This means that recommendations based these fully effective, as certain may change over time. To address this gap literature, study aims to identify contributing severity and examine how their varies In comprehensive study, we utilized Generalised Linear Model (GLM) data between years 2013 2017,...

Abstract Safety at the gore areas near diverging ramps is very crucial during planning and implementation of highway safety improvement programs. Limited research has been conducted on arterial roads. This study aims investigating impact improving a sharp area in Lincoln, Nebraska by performing micro simulation before-and-after with respect to its underlying state congestion. Data travel times traffic volumes for peak hours are incorporated after successful calibration find out how geometric...

Single-vehicle crashes contribute to more fatalities compared other crash types in the United States. Based on age group, risk factors associated with single-vehicle fatal were between older drivers and who have been involved at intersections Midwest region. In this study, a data set was gathered for five years from Fatality Analysis Reporting System (FARS) database. Two separate logistic regression models developed predict by drivers. Risk affecting toward increased identified each...

Older drivers aged 65 years and older are more vulnerable to fatal crashes due cognitive impairments frailty. The objective of this study was determine factors associated with intersection-related involving in the Midwestern states. A five-year crash data set from 2014 2018, Fatality Analysis Reporting System (FARS), utilized. logistic stepwise selection procedure applied identify statistically significant predictor variables. model identified eight variables out thirty. predictors that...

This research highlights a very important aspect of road safety which is related to the use pedestrian facilities by young adults, with special focus on differences gender. Pedestrians are considered as most vulnerable user group. Moreover, involvement people in crashes among alarming aspects for countries world. employs survey questionnaire determine preferences bridge, before and after its rehabilitation. The analysis included statistical tests, logistic regression CART model. It was found...

Discretionary lane changing (DLC) decision on freeways is influenced by several factors and varies across vehicle classes. This research aims to investigate the role of attributes (e.g., length, width) flow characteristics headways lead-lag gaps) DLC making process. We analyzed trajectory data extracted from Federal Highway Administration's (FHWA) Next Generation Simulation (NGSIM) program for Interstate 80. The were collected during rush hours (between 4:00 p.m. 4:15 April 13, 2005) a...

Functional forces might also lead to fracture after endodontic treatment. This occur secondary exposure erosion, abrasion, physical trauma, and caries. Interventing against these events can be achieved by conducting long follow-up periods enhancing the treatment approaches. The current modalities aim at tissue preservation enhance resistance fractures prevent potential post-treatment complications. In this context, evidence shows validity of minimally invasive in with favorable outcomes...