Undrained torsional shear tests were carried out on remolded loess specimens using a hollow cylinder apparatus to investigate the deformation behavior and noncoaxiality (where direction of plastic strain increment is not coaxial with principal stress) remodeled when magnitude stress change simultaneously. It can be found that tested samples significantly influenced by intermediate coefficient rotation range stress. The influences elastic strain, stress, coefficient, cycle period also...

<div class="section abstract"><div class="htmlview paragraph">Intelligent transportation systems and connected automated vehicles (CAVs) are advancing rapidly, though not yet fully widespread. Consequently, traditional human-driven (HDVs), CAVs, (HD-CAVs) will coexist on roads for the foreseeable future. Simultaneously, car-following behaviors in equilibrium discretionary lane-changing make up most common highway operations, which seriously affect traffic stability, efficiency...

AbstractObjective Road testing can accelerate the development and validation of autonomous vehicles (AVs). AV road come with high safety risks, particularly in a complex traffic environment, due to immaturity technology. A priori risk assessments environment before are great importance, allow quantifying levels different scenarios, provide guidelines for low high-risk environments.Methods This study proposes framework, namely Safety Risk Assessment (SRAAV), based on probability severity five...

Summary A structure must meet many performance requirements to survive an earthquake. For a super high‐rise structure, the dominant control metric is stiffness when considering earthquake resistance because lateral displacement of often does not code even if meets strength requirements. moderate and major earthquakes, play leading role jointly. Viscous damper (VD) buckling restraint brace (BRB) are damping devices that commonly used in modern engineering. The efficiencies these different for...

With the rapid development of artificial intelligence technology, deep learning method has been introduced for vehicle trajectory prediction in internet vehicles, since it provides relative accurate results, which is one critical links to guarantee security distributed mixed-driving scenario. In order further enhance accuracy by making full utilization complex traffic scenes, an improved multimodal based on inverse reinforcement proposed. Firstly, a fused dilated convolution module better...

To prevent the spread of coronavirus disease 2019 (COVID-19), preliminary temperature measurement and mask detection in public areas are conducted. However, existing methods face problems safety deployment. In this paper, to realize safe accurate even when a person's is partially obscured, we propose cloud-edge-terminal collaborative system with lightweight infrared model. A binocular camera an RGB lens thermal utilized simultaneously capture image pairs. Then, mobile model based on...

Earlier studies have shown that driving behavior differs strongly in emergency conditions compared with normal traffic conditions. In this paper, these findings are followed up an investigation of how differences affect travel time reliability. particular, the focus is on effect relatively strong heterogeneity behavior. The microscopic simulation framework S-PARAMICS adapted accordingly and applied to evacuation network Dutch city Almere. This experimental setup allows a structured in-depth...

Due to the difference of vehicle type and power performance between large vehicles cars, mix rate will have an important impact on traffic flow work zone lead decrease driving safety. Through a survey ShangHai outer ring highway zone, this article analyzes influence speed variance, then put forward variable limit (VSL) strategy based gap acceptance theory for considering rate. The simulated analyses showed that can reduce variance which contribute improving overall safety in zone. research...

With the rapid development of artificial intelligent technology, deep learning method is widely applied to predict human driving intentions due its relative accuracy prediction, which one critical links for security guarantee in distributed, mixed scenario. In order sense intention human-driven vehicles and reduce self-driving collision avoidance rate, an improved prediction human-driving based on unsupervised, inverse reinforcement proposed. Firstly, a contrast discriminator module was...

Driving involves a risk of having accidents, which insurance companies cover the financial consequences. They would prefer their customers to drive safer. A survey was carried out study drivers' reactions on variable premiums. An in-car device record driving behaviour and send an aggregated report, calculating reward based total distance, distance less in risky conditions (nighttime, speeding) or environments (urban, extraurban). According survey, 27% drivers is willing change with rate,...

Foundation pit excavation may cause excessive uplift displacement and structural damage to the underlying shield tunnel. In this paper, rationality of excavation-induced inputs in current force-based displacement-based methods is analyzed theoretically verified by comparing elastic finite element method (FEM) continuum solution. Then, force input modified load amplification factor obtain a reasonable tunnel response, calculation given. Based on mechanism tunnel-soil interaction, difference...

The purpose of asset write-offs by a firm is to provide an accurate valuation the and reveal its true business performance from perspective economic conditions.However, decision write-off assets might be manipulated manager thus misguide public incorrect value.The aim this study quantitative prediction models for based on both firms' financial managerial incentive factors.The achieved in two stages, where first stage conducts binary occurrence firm, while second predicts magnitude such if...