Results 11 to 20 of about 99,827 (273)
Are Financial Crashes Predictable? [PDF]
Europhysics Letters (EPL), 1998 We critically review recent claims that financial crashes can be predicted using the idea of log-periodic oscillations or by other methods inspired by the physics of critical phenomena.
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Prediction of stock market crash using self-organizing maps [PDF]
تحقیقات مالی, 2015 Market crash is a phenomenon which occurs in stock markets occasionally and leads to loss of the investors’ wealth and assets in a relatively short period of time.
Arash Mohamad Alizadeh +2 more
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International Journal of Transportation Science and Technology, 2022 Safety of drivers in freeway work zones has been a problem. Real-time crash prediction helps prevent crashes before they happen. This paper looks at real-time crash prediction in freeway work zones by using machine learning approaches.
Junhua Wang +6 more
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Different Forecasting Model Comparison for Near Future Crash Prediction
Applied Sciences, 2023 A traffic crash is becoming one of the major factors that leads to unexpected death in the world. Short window traffic crash prediction in the near future is becoming more pragmatic with the advancements in the fields of artificial intelligence and ...
Bowen Cai, Qianli Di
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Applied Sciences, 2023 The highway–rail grade crossings (HRGCs) crash frequency models used in the US are based on the Federal Railroad Administration’s (FRA) database for highway–rail crossing inventory.
Muhammad Umer Farooq, Aemal J. Khattak
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Practical Minimum Sample Size for Road Crash Time-Series Prediction Models
Advances in Civil Engineering, 2020 Road crashes are problems facing the transportation sector. Crash data in many countries are available only for the past 10 to 20 years, which makes it difficult to determine whether the data are sufficient to establish reasonable and accurate prediction
Fady M. A. Hassouna, Khaled Al-Sahili
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International Journal of Transportation Science and Technology, 2021 This paper proposes a risk assessment method based on trajectory data which are used to quantify the risk faced by drivers for application in autonomous vehicles.
Bing Wu, Yan Yan, Daiheng Ni, Linbo Li
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Safety in Traffic Management Systems: A Comprehensive Survey
Designs, 2023 Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has introduced new safety challenges.
Wenlu Du +4 more
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Momentum Trading, Return Chasing and Predictable Crashes [PDF]
SSRN Electronic Journal, 2014 We combine self-collected historical data from 1867 to 1907 with CRSP data from 1926 to 2012, to examine the risk and return over the past 140 years of one of the most popular mechanical trading strategies — momentum. We find that momentum has earned abnormally high risk-adjusted returns — a three factor alpha of 1 percent per month between 1927 and ...
Chabot, Benjamin +2 more
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Predicting crash frequency using an optimised radial basis function neural network model [PDF]
, 2016 With the enormous losses to society that result from highway crashes, gaining a better understanding of the risk factors that affect traffic crash occurrence has long been a prominent focus of safety research.
Huang, H +4 more
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