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Betweenness Centrality Measures as Potential Predictors of Crash Frequency
Road network patterns and configurations affect traffic and safety. Network structural measures such as edge betweenness centrality (EBC) give useful...
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Vehicle crash mitigation strategy in unavoidable collision scenarios: focusing on motion planning by considering a generalized crash severity model
Driving strategy in dynamic environment is crucial to the automated vehicle safety. In extremely emergency scenarios with unavoidable collision (UC),...
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Head behavior on left-turn across path and opposite direction crash using simulation
In this study, the boundary conditions of crash simulation are derived by analyzing the LTAP/OD (left turn across path/opposite direction) crash...
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Analysis of Road Crash Frequency with Spatial Models (Case Study: Shiraz Metropolis)
The type of land use in each traffic area zone (TAZ) is the most important factor determining the number of vehicles, geometric and traffic...
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Development of Crash Pad Using Overmolding Technology
Herein, the hard panel-crash pad Integrally overmolded with soft skin thermoplastic polyoefins (TPO) for soft feeling and cost reduction was...
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Jointly modeling the dependence of injury severity and crash size involved in motorcycle crashes in Cambodia using a copula-based approach
Escalating motorcycle crashes present a significant challenge due to the increase in motorcycle registrations and the corresponding increase in...
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Effects of Diameter-to-thickness Ratio on Impact Energy Absorption Capability of CFRP Cylindrical Crash Box
Modern cars protect drivers and passengers in frontal, rear and offset crashes by using crumple zones to absorb crash energy. This means that the car...
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Statistical analysis of crash data and impact of COVID-19 on road crashes in Maharashtra, India
This study analyzes crash data from 2016 to 2020 on a National Highway in Maharashtra, India. The impact of the COVID-19 lockdown on the road crashes...
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Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model
Smart cities came out as highly knowledgeable bio-networks, offering intelligent services and innovative solutions to urban problems. With rapid...
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Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms
ObjectivesCausal analysis and classification of injury severity applying non-parametric methods for traffic crashes have received limited attention....
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Development of Crash Prediction Model using Artificial Neural Network (ANN): A Case Study of Hyderabad, India
Machine learning (ML)-based prediction of urban crashes using secondary crash data derived from police crash databases is limited in India. This...
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Crash
Die Untersuchungen zum Crashverhalten gliedern sich in zwei aufeinander aufbauende Betrachtungsbereiche: Grundmaterialcharakterisierung und...
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Finite element analysis and deployment of analytical hierarchical process for design of the structural framework for micro-actuators of vehicle crash box
Safety is one of the essential and vital factors in the case of the automobile industry. The vehicle has several safety features, like airbags, seat...
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Crash Prediction Modeling for Horizontal Curves on Two-Lane, Two-Way Rural Highways Based on Consistency and Self-Explaining Characteristics Using Zero-Truncated Data
Consistency and self-explaining characteristics play important roles in road safety performance, especially at rural highway curves. This study aims...
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Traffic Crash Severity: Comparing the Predictive Performance of Popular Statistical and Machine Learning Models Using the Glasgow Coma Scale
Crash severity analysis and prediction is a promising field in traffic safety. Various statistical methods have been used to model the severity of...
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Self-Tuning Occupant Injury Prediction Algorithm for Advanced Automatic Crash Notification System
In this study, the effect of discrimination threshold on velocity variation is investigated, and a self-tuning algorithm for velocity variation is...
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Evaluating Geometric Design Characteristics of Two-Lane Two-Way Rural Roads on Crash Frequencies Occurrences
Recognizing the factors that have the greatest significant effect on the probability of a crash occurring is an essential part of road safety...
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Research on the Crash Test Considering Pre-crash Technology
Along with the automobile safety requirements increasing, and the continuous development of active and passive safety technology, resulting in a...
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The effect of crash pulse on occupant injury in frontal coach collisions
The purpose of this study is to reveal the effect of different acceleration curves on occupant injury risk in the frontal collision of coaches. Based...
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Stochastic analysis of a crash box under impact loading by an adaptive POD-PCE model
Propagating uncertainty through a crash problem is very difficult due to non-linear and non-smooth behavior. The required number of model evaluations...
