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Geospatial and econometric approaches or older driver safety: Analysis of crash injury severity of regional highways.
Published 2025-01-01“…To reach the goal, a spatial analysis was proposed employing geographic information systems (GIS) with a case study application to two counties in Nevada. First, crash clusters were explored using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) approach to investigate the spatial crash pattern for older drivers, and determine high risk locations of injury severity. …”
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ENERGY ABSORPTION CHARACTERISTIC OF BIOMIMETIC BAMBOO THIN⁃WALLED TUBE STRUCTURE FOR CAR CRASH BARRIERS
Published 2024-08-01Get full text
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PARAMETERS INFLUENCE OF INDUCTION GROOVES ON ENERGY ABSORPTION CHARACTERISTICS OF CRASH-BOX FILLED WITH FOAMED ALUMINUM
Published 2019-01-01Subjects: Get full text
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Company's diversification strategy and crash risk stock prices emphasizing operational slack and management ability
Published 2023-10-01Subjects: Get full text
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RESEARCH ON THE DESIGN OF A NOVEL HIGHYWAY CRASH CUSHION BASED ON THE MINMIAL SURFACE SANDWICH STRUCTURE (MT)
Published 2022-01-01Subjects: Get full text
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SIMULATION OF URBAN RAIL VEHICLE CRASH AND FACTORS INFLUNCING ANTI-CLIMBING ABILITY OF ITS ANTI-CLIMBER
Published 2015-01-01Subjects: Get full text
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Crash-Induced Vibration and Safety Assessment of Breakaway-Type Post Structures Made of High Anticorrosion Steels
Published 2016-01-01“…This study deals with car crash effects and passenger safety assessment of post structures with breakaway types using high performance steel materials. …”
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Motorcyclist Is the Right-of-Way Violator: A Population-Based Study of Motorcycle Right-of-Way Crash in Taiwan
Published 2018-01-01“…Using the National Taiwan Crash Database, the present study estimates a logistic regression model to predict the likelihood of an approach-turn motorcycle-turning crash (relative to a car-turning crash). …”
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Predicting Crash Frequency for Urban Expressway considering Collision Types Using Real-Time Traffic Data
Published 2020-01-01“…Current studies on traffic crash prediction mainly focus on the crash frequency and crash severity of freeways or arterials. …”
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A Dynamic Bayesian Network-Based Real-Time Crash Prediction Model for Urban Elevated Expressway
Published 2021-01-01“…Traffic crash is a complex phenomenon that involves coupling interdependency among multiple influencing factors. …”
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Track Behavior and Crash Risk Analysis of Passenger Cars on Hairpin Curves of Two-Lane Mountain Roads
Published 2021-01-01“…Track morphology and patterns, risks, and road crash mechanisms were analyzed. The main findings are as follows. …”
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Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data
Published 2020-01-01“…However, a few studies have performed an in-depth exploration of the contributing factors of crashes involving AVs. This study aims to predict the severity of crashes involving AVs and analyze the effects of the different factors on crash severity. …”
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Riding Through the Pandemic: Unveiling Motorcycle Crash Trends Amidst Three Years of the COVID-19 Crisis
Published 2025-01-01“…During the second wave, crashes and fatalities approached predicted values, while injuries remained lower than anticipated. …”
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Simulation-Based Framework for Estimating Crash Modification Factors (CMFs): A Case Study for ITS Countermeasures
Published 2019-01-01“…The efficient movement of users and goods is the primary purpose of the surface transportation system. Roadway traffic crashes have devastating impacts on quality of life of the users as well as health of the system. …”
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Risk factors for overtaking, rear-end, and door crashes involving bicycles in the United Kingdom: Revisited and reanalysed.
Published 2025-01-01“…<h4>Background and objective</h4>Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. …”
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Exploring the Behavior-Driven Crash Risk Prediction Model: The Role of Onboard Navigation Data in Road Safety
Published 2023-01-01“…Driving behavior has frequently been overlooked in previous road traffic crash research. Hereby, abnormal (extreme) driving behavior data transmitted by the onboard navigation systems were collected for vehicles involved in traffic crashes, including sharp-lane-change, sharp-acceleration, and sudden-braking behaviors. …”
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Unified brand strategy and operation quality of business group: evidence from stock price crash risk
Published 2025-02-01Subjects: Get full text
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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis
Published 2024-12-01Subjects: “…|car crash dynamics|hexagonalization|multi-model machine learning|spatial planning intervention…”
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Dynamic Spectrum Sensing Under Crash and Byzantine Failure Environments for Distributed Convergence in Cognitive Radio Networks
Published 2021-01-01Subjects: Get full text
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