Crash severity analysis of vulnerable road users using machine learning
Road crash fatality is a universal problem of the transportation system. A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity.
Md. Mostafizur Rahman Komol+5 more
semanticscholar +1 more source
MSF and Ebola in Nord Kivu: Positioning, Politics and Pertinence
This article explores the actions of Médecins Sans Frontières during the 2018–20 Ebola outbreak in Nord Kivu, in the Democratic Republic of Congo. Based on the experiences of practitioners involved in the response, including the author, and on the public
Natalie Roberts
doaj +1 more source
Effect of tranexamic acid in traumatic brain injury: a nested randomised, placebo controlled trial (CRASH-2 Intracranial Bleeding Study). [PDF]
OBJECTIVE: To assess the effect of tranexamic acid (which reduces bleeding in surgical patients and reduces mortality due to bleeding in trauma patients) on intracranial haemorrhage in patients with traumatic brain injury.
CRASH-2 Collaborators, Intracranial Bleeding Study
core +1 more source
Intersection Two-Vehicle Crash Scenario Specification for Automated Vehicle Safety Evaluation Using Sequence Analysis and Bayesian Networks [PDF]
This paper develops a test scenario specification procedure using crash sequence analysis and Bayesian network modeling. Intersection two-vehicle crash data was obtained from the 2016 to 2018 National Highway Traffic Safety Administration Crash Report Sampling System database.
arxiv +1 more source
Reversing Poor Safety Records: Identifying Best Practices to Improve Fleet Safety
Commercial motor vehicle safety is of utmost importance, as crashes involving commercial motor vehicles often result in significant property damage, injuries, fatalities, and financial loss for fleets.
Matthew C. Camden+2 more
doaj +1 more source
Applying Association Rules Mining to Investigate Pedestrian Fatal and Injury Crash Patterns Under Different Lighting Conditions [PDF]
The pattern of pedestrian crashes varies greatly depending on lighting circumstances, emphasizing the need of examining pedestrian crashes in various lighting conditions. Using Louisiana pedestrian fatal and injury crash data (2010-2019), this study applied Association Rules Mining (ARM) to identify the hidden pattern of crash risk factors according to
arxiv +1 more source
This study proposes a framework to diagnose stock market crashes and predict the subsequent price rebounds. Based on the observation of anomalous changes in stock correlation networks during market crashes, we extend the log-periodic power-law model with
Yuxuan Xiu+2 more
doaj +1 more source
Modeling Lead-vehicle Kinematics For Rear-end Crash Scenario Generation [PDF]
The use of virtual safety assessment as the primary method for evaluating vehicle safety technologies has emphasized the importance of crash scenario generation. One of the most common crash types is the rear-end crash, which involves a lead vehicle and a following vehicle.
arxiv +1 more source
Multimodal Locomotion: Next Generation Aerial–Terrestrial Mobile Robotics
Aerial–terrestrial robots can achieve efficient energy consumption and robust environmental interaction by adding morphological features, adapting forms for locomotion transitions, and integrating multiple platforms. This next generation of mobile robots advances real‐world robotic deployment for operations with complex tasks and tackle environments ...
Jane Pauline Ramirez, Salua Hamaza
wiley +1 more source
An Aerial–Aquatic Hitchhiking Robot with Remora‐Inspired Tactile Sensors and Thrust Vectoring Units
An untethered aerial–aquatic hitchhiking robot that can be remotely controlled for flying, swimming, and transiting air–water boundaries rapidly (0.16 s), is presented. Notably, it can autonomously attach to various surfaces in both air and water environments using a remora‐inspired suction disc with flexible tactile sensors.
Lei Li+12 more
wiley +1 more source