The high-resolution micro traffic data (HRMTD) of all roadway users is important for serving the connected-vehicle system in mixed situations. roadside LiDAR sensor gives a solution to providing HRMTD from real-time 3D point clouds its scanned objects. Background filtering preprocessing step obtain different data. It can significantly reduce processing time and improve vehicle/pedestrian identification accuracy. An algorithm proposed this paper, based on spatial distribution laser points,...

Roadside light detection and ranging (LiDAR) is an emerging traffic data collection device has recently been deployed in different transportation areas. The current processing algorithms for roadside LiDAR are usually developed assuming normal weather conditions. Adverse conditions, such as windy snowy could be challenges processing. This paper examines the performance of state-of-the-art under adverse then composed improved background filtering object clustering method order to process...

Intelligent prediction of rock bursts has great significance in mechanics research and a high value engineering applications. An intelligent rockburst method based on Bayes-optimized convolutional neural network (BOCNN) was proposed. First, an exploratory analysis data conducted using joint distribution diagrams the heat map correlation matrix to establish high-quality set cases parameter system for prediction. Second, six models were built by combining machine learning algorithms, such as...

Deer crossing roads are a major concern of highway safety in rural and suburban areas the United States. This paper provided an innovative approach to detecting deer at highways using 3D light detection ranging (LiDAR) technology. The developed LiDAR data processing procedure includes background filtering, object clustering, classification. An automatic filtering method based on point distribution was applied exclude but keep (and road users if they exist) space. A modified density-based...

This paper developed a data processing procedure for detection and tracking of multi-lane multi-vehicle trajectories with roadside Light Detection Ranging (LiDAR) sensor. Different from the existing perception methods autonomous vehicle system, this was explicitly to extract LiDAR The proposed includes five main steps: region interest (ROI) selection, ground surface filtering, point clustering, vehicle/non-vehicle classification, geometrical tracking. case study showed that vehicles can be...

Vehicle-pedestrian conflicts have been the major concern for traffic safety. Surrogate safety measures are widely applied pedestrian evaluation. However, how to quickly identify vehicle-pedestrian surrogate at individual site is challenging due difficulty of obtaining high-resolution trajectories road users. This paper presented an effective method generate from roadside deployed Light Detection and Ranging (LiDAR) sensor. The can then be identified simply using speed-distance profile (SDP)...

To accurately and reliably predict the occurrence of rockburst disasters, a intensity level prediction model based on FA-SSA-PNN is proposed. Crding to internal external factors occurrence, six influencing (σθ, σt, σc, σc/σt, σθ/σc, Wet) were selected build index system. Seventy-five sets typical case data at home abroad collected, original preprocessed factor analysis (FA), comprehensive indexes, CPI1, CPI2, CPI3, obtained after dimensionality reduction, used as input features SSA-PNN...

The Light Detection and Ranging (LiDAR) sensors are being considered as new traffic infrastructure to detect road users’ trajectories for connected/autonomous vehicles other engineering applications. A LiDAR-enhanced system requires multiple LiDAR around intersections, along with segments, which can provide a seamless detection range at intersections or arterials. Each sensor generates cloud points of surrounding objects in local coordinate the origin, so it is necessary integrate roadside...

High frequency of distracted driving behavior is considered a high potential risk for traffic safety. Right-turn drivers' can dramatically increase the crash considering complex procedures required by right-turn movements at intersections. This paper analyzed influence several factors including road geometry, environmental factors, and conditions on occurrence activities. The data were collected through Naturalistic Driving Study (NDS). A total 581 events 208 with 373 without (baseline...

In regard to goaf risk prediction, due the low accuracy and single prediction method, this study proposes a method that combines improved arithmetic optimization algorithm (IAOA) – support vector machines (SVM) with GoCAD–FLAC3D numerical simulation. Thus, is comprehensively predicted. From perspectives of geological engineering conditions, eight factors affect stability 176 sets sample data were determined. We utilized influencing such as rock mass structure, burial depth inputs, level...

Roadside light detection and ranging (LiDAR) provides a solution to fill the data gap under mixed traffic situations. The real-time high-resolution micro (HRMTD) of all road users from roadside LiDAR sensor new opportunity serve connected-vehicle system during transition period unconnected vehicles connected vehicles. Ground surface identification is basic processing step for HRMTD collection. current ground points algorithms based on airborne mobile do not work LiDAR. A novel algorithm...

Unsafe driver behavior has been a major concern for traffic safety. Limited studies were conducted analysis on ramp-related areas due to limited data. The advanced Intelligent Transportation Systems (ITS) technologies, such as connected-vehicles, are helpful reduce fault. However, considering the numerous ramps in road network United States, priority of ITS deployment needs be given those sites with high risk having This paper analyzed role fault crashes/near-crashes Strategic Highway...

One of the key tasks for improving vehicle operating costs estimation is to develop representative driving cycles. A cycle a speed-time profile. The cycles are critical input simulating VOCs in different road scenarios. traditional methods could not generate representing speed pattern sample snippets. new development method, synthetic optimization, was developed and applied by applying speed-acceleration frequency distribution matrix, status transition simulated annealing optimization...

The increasing conflicts between skateboarders and pedestrians on the campuses have caused safety concerns. Although traffic planners campus usually did not consider skateboarding into planning due to lack of historical data. traditional data collection method such as manual counting or video detection took a lot effort could only provide macrolevel Therefore, this research presented new approach for skateboarder using roadside LiDAR sensor. A two-stage classification was developed...

Abstract Vehicle tracking technology is a prerequisite for the connected-vehicle (CV) system. However, mixture of CV and unconnected vehicles will be under normal conditions on roads in near future. How to obtain real-time traffic status remains challenge engineers. The roadside Light Detection Ranging (LiDAR) sensor provides solution collecting high-resolution micro data all road users (CV vehicles). This article developed systematic procedure vehicle using LiDAR sensors. can divided into...

Objective This study aims to explore the association between alcohol intake and cognitive function in elderly Americans, including potential nonlinear relationships interactions across different subgroups. Methods The analyzed data from National Health Nutrition Examination Survey (NHANES) 2011 2014. sample included 2,675 Americans aged 60 or older. Multivariate regression analysis was used evaluate relationship function. Smooth curve fitting threshold effect were employed relationships....

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To study the effects of declining mechanical parameters caused by blasting excavation on slopes, we introduced damage degree index Ds, and established a relationship between Ds disturbance factor D in Hoek–Brown criterion, along with basic quality BQ for rock mass. We then explored change law as function D. also used phosphate mine slope Guizhou Province reference, analyzed process evolution based RHT (Riedel-Hiermaier-Thoma Constitution) LS-DYNA (Yunnan, China). Results showed direct GSI...

Abstract The interaction and influence between various rock cracks (unequal noncolinear) are the root cause of fracture in natural bodies. In this study, to analyze law such cracks, elastic mechanics principle distributed dislocation were superimposed calculate mechanical parameters expressions tip stress intensity factor (SIF) equivalent SIF two tensile-shear subjected far-field force. effects secondary crack characteristics on interactions SIFs at main theoretically analyzed. Then, a...