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An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer [PDF]
Scientific ReportsOne of the important applications of real-time crash prediction analysis lies in the field of proactive traffic management, where instantaneous crash risk evaluation and dynamic decision-making are prerequisites.
Mohamed Abdel-Aty +2 more
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Real-time prediction of crash risk on freeways under fog conditions
International Journal of Transportation Science and Technology, 2020 The study aimed to develop a real-time crash risk prediction model on freeways under fog conditions. The data used include traffic surveillance data, fog-related crashes data, road geometry data, and visibility data of Interstate-5 (I-5), Interstate-10 ...
Ben Zhai +3 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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Journal of Advanced Transportation, 2021 Real-time crash prediction helps identify and prevent the occurrence of traffic crash. For years, various real-time crash prediction models have been investigated to provide effective information for proactive traffic management.
Tian Lei +3 more
doaj +1 more source
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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A Dynamic Bayesian Network-Based Real-Time Crash Prediction Model for Urban Elevated Expressway
Journal of Advanced Transportation, 2021 Traffic crash is a complex phenomenon that involves coupling interdependency among multiple influencing factors. Considering that interdependency is critical for predicting crash risk accurately and contributes to revealing the underlying mechanism of ...
Xian Liu +3 more
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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
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Predicting Real‐Time Crash Risk for Urban Expressways in China [PDF]
Mathematical Problems in Engineering, 2017 We developed a real‐time crash risk prediction model for urban expressways in China in this study. About two‐year crash data and their matching traffic sensor data from the Beijing section of Jingha expressway were utilized for this research. The traffic data in six 5‐minute intervals between 0 and 30 minutes prior to crash occurrence was extracted ...
Miaomiao Liu, Yongsheng Chen
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Applied Sciences, 2023 As a result of the increasing use of artificial intelligence technology in transportation, numerous real-time crash prediction techniques have been developed.
Sheng-Chih Ho +3 more
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IEEE Open Journal of Intelligent Transportation Systems, 2022 Motor vehicle crashes are one of the most common causes of fatalities on the roads. Real-time severity prediction of such crashes may contribute towards reducing the rate of fatality.
Mahzabeen Emu +3 more
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