Results 1 to 10 of about 99,678 (126)

An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer [PDF]

Scientific Reports
One 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, Tarek Hasan, B M Tazbiul Hassan Anik   +2 more
doaj   +2 more sources

Roadway traffic crash prediction using a state-space model based support vector regression approach. [PDF]

PLoS ONE, 2019
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic crash outcomes and impact risk factors and explaining the effects of risk factors, which ignore the changes of roadway systems and can lead to inaccurate ...
Chunjiao Dong, Kun Xie, Xubin Sun, Miaomiao Lyu, Hao Yue   +4 more
doaj   +2 more sources

SafeTraffic Copilot: adapting large language models for trustworthy traffic safety assessments and decision interventions [PDF]

Nature Communications
Predicting expected traffic crashes and designing targeted interventions are highly challenging due to the inherent complexity of crash data and persistent concerns over the prediction trustworthiness.
Yang Zhao, Pu Wang, Yibo Zhao, Hongru Du, Hao Frank Yang   +4 more
doaj   +2 more sources

An explainable multi-task deep learning framework for crash severity prediction using multi-source data [PDF]

Scientific Reports
Traffic accidents pose significant global challenges, causing substantial injuries, fatalities, and economic losses. Current research predominantly focuses on single-prediction objectives (e.g., fatality prediction) while neglecting property damage ...
Yuanyuan Xiao, Zongtao Duan
doaj   +2 more sources

Highway Traffic Crash Risk Prediction Method considering Temporal Correlation Characteristics

Journal of Advanced Transportation, 2023
Crash risk analysis and prediction are considered the premise of highway traffic safety control, which directly affects the accuracy and effectiveness of traffic safety decisions.
Liping Zhao, Feng Li, Dongye Sun, Fei Dai   +3 more
doaj   +1 more source

Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach

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, Jia Peng, Xingliang Liu, Qin Luo   +3 more
doaj   +1 more source

COMPARISON OF ADJACENCY AND DISTANCE-BASED APPROACHES FOR SPATIAL ANALYSIS OF MULTIMODAL TRAFFIC CRASH DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Many studies have utilized the spatial correlations among traffic crash data to develop crash prediction models with the aim to investigate the influential factors or predict crash counts at different sites.
G. Gill, T. Sakrani, W. Cheng, J. Zhou
doaj   +1 more source

Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction

Journal of Advanced Transportation, 2022
In the field of freeway traffic safety research, there is an increasing focus in studies on how to reduce the frequency and severity of traffic crashes.
Yang Yang, Kun Wang, Zhenzhou Yuan, Dan Liu   +3 more
doaj   +1 more source

Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators

Systems, 2022
Stock price crashes have occurred frequently in the Chinese security market during the last three decades. They have not only caused substantial economic losses to market investors but also seriously threatened the stability and financial safety of the ...
Shangkun Deng, Yingke Zhu, Shuangyang Duan, Zhe Fu, Zonghua Liu   +4 more
doaj   +1 more source

Predicting child occupant crash injury severity in the United Arab Emirates using machine learning models for imbalanced dataset

IATSS Research, 2023
Road traffic crashes have increased over the years leading to greater injury severity among children who are mostly vehicle occupants in high-income countries. This adversely affects the healthy development of children and might lead to death.
Muhammad Uba Abdulazeez, Wasif Khan, Kassim Abdulrahman Abdullah   +2 more
doaj   +1 more source