Results 41 to 50 of about 99,827 (273)
Real-time prediction of Bitcoin bubble crashes
Physica A: Statistical Mechanics and its Applications, 2020 In the past decade, Bitcoin as an emerging asset class has gained widespread public attention because of their extraordinary returns in phases of extreme price growth and their unpredictable massive crashes. We apply the log-periodic power law singularity (LPPLS) confidence indicator as a diagnostic tool for identifying bubbles using the daily data on ...
Shu, Min, Zhu, Wei
openaire +3 more sources
Journal of Traffic and Transportation Engineering (English ed. Online), 2020 Crash prediction models are commonly used for network screening in highway safety management process, where potential impacts of highway safety treatments are quantified.
Imalka C. Matarage, Sunanda Dissanayake
doaj +1 more source
Connecting tradition with modernity: Safety literature review
Digital Transportation and Safety, 2023 Road safety has long been considered as one of the most important issues. Numerous studies have been conducted to investigate crashes with significant progress, whereas most of the work concentrates on the lifespan period of roadways and safety ...
Daiquan Xiao +4 more
doaj +1 more source
Crash risk estimation and assessment tool [PDF]
, 2010 Currently in Australia, there are no decision support tools for traffic and transport engineers to assess the crash risk potential of proposed road projects at design level.
Jurewicz, Chris, Thompson, Bruce
core +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis
Journal of Advanced Transportation, 2020 Highway-rail grade crossing (HRGC) crashes continue to be the major contributors to rail causalities in the United States and have been intensively researched in the past.
Pan Lu +6 more
doaj +1 more source
IEEE Access, 2020 Many unfortunate victims in road traffic crashes do not receive ideal treatment because their injury severity is not understood at an early stage. Swift crash severity prediction enables trauma and emergency centers to estimate the potential damage ...
Umer Mansoor +3 more
doaj +1 more source
, 2000 The Nasdaq Composite fell another $\approx 10 %$ on Friday the 14'th of April 2000 signaling the end of a remarkable speculative high-tech bubble starting in spring 1997. The closing of the Nasdaq Composite at 3321 corresponds to a total loss of over 35%
Johansen, Anders, Sornette, Didier
core +2 more sources
Predicting Truck At-Fault Crashes Using Crash and Traffic Offence Data [PDF]
The Open Transportation Journal, 2018 Introduction:The number of truck-related injuries and deaths can be reduced by understanding the factors that contribute to the higher risk of truck-related crashes and violations. Truck drivers are at fault of more than 80% of all the truck crashes on Wyoming interstates, and the literature review indicated that in order to identify appropriate ...
Mahdi Rezapour +2 more
openaire +1 more source
Aggregate Crash Prediction Model Based on Gravity Model: Introducing Crash Risk Distribution Concept
Transportation Engineering, 2023 Crash prediction models (CPMs) can be valuable for future transportation planning decisions. This study aims to develop CPMs based on the trip distribution step of the common four-step demand models. For this purpose, the Gravity Model is used. For model calibration, the frequency of severe crashes (including the total of fatal and injury crashes ...
Saman Dabbaghfeizi +2 more
openaire +2 more sources