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Mohammed Almannaa, Md Nabil Zawad, May Moshawah & Haifa Alabduljabbar. (2023) Investigating the effect of road condition and vacation on crash severity using machine learning algorithms. International Journal of Injury Control and Safety Promotion 30:3, pages 392-402.
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Xinqun Wang, Jianhua Wang, Weiyi Sun, Yuncheng Wang, Fei Xie & Dongni Guo. (2022) Development of AEB control strategy for autonomous vehicles on snow-asphalt joint pavement. International Journal of Crashworthiness 27:6, pages 1601-1621.
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Siying Zhu. (2022) Analyse vehicle–pedestrian crash severity at intersection with data mining techniques. International Journal of Crashworthiness 27:5, pages 1374-1382.
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Shufeng Wang, Zhihao Li, Junyou Zhang, Yadong Yuan & Zhe Liu. (2022) The crash injury severity prediction of traffic accident using an improved wrappers feature selection algorithm. International Journal of Crashworthiness 27:3, pages 910-921.
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Articles from other publishers (36)
Lai Zheng, Zhenlin Hu & Tarek Sayed. (2022) Traffic Conflict Prediction at Signal Cycle Level Using Bayesian Optimized Machine Learning Approaches. Transportation Research Record: Journal of the Transportation Research Board 2677:5, pages 183-195.
Crossref
Crossref
Ammar Sohail, Muhammad Aamir Cheema, Mohammed Eunus Ali, Adel N. Toosi & Hesham A. Rakha. (2023) Data-driven approaches for road safety: A comprehensive systematic literature review. Safety Science 158, pages 105949.
Crossref
Crossref
David Dias, José Silvestre Silva & Alexandre Bernardino. (2023) The Prediction of Road-Accident Risk through Data Mining: A Case Study from Setubal, Portugal. Informatics 10:1, pages 17.
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Crossref
Tadesse Kebede Bahiru, V. S. Manjula, Tadesse Birara Akele, Engdaw Ayalew Tesfaw & Tadesse Destaw Belay. (2023) Mining Road Traffic Accident Data for Prediction of Accident Severity. Mining Road Traffic Accident Data for Prediction of Accident Severity.
Omolola Faith Ademola, Sanjay Misra & Akshat Agrawal. 2023. Proceedings of International Conference on Recent Innovations in Computing. Proceedings of International Conference on Recent Innovations in Computing
225
239
.
Gaurav Nanda, Kirsten Vallmuur, Jesani Catchpoole & Mark R. Lehto. 2023. Human-Automation Interaction. Human-Automation Interaction
565
576
.
Hüseyin BOLAT, Melih YÜCESAN & Anıl UTKU. (2022) Trafik Kazalarının Makine Öğrenmesi Yöntemleriyle Analizi ve Tahmini: Kahramanmaraş İçin Örnek Bir ÇalışmaAnalysis and Prediction of Traffic Accidents with Machine Learning Methods: A Case Study for Kahramanmaraş. International Journal of Pure and Applied Sciences 8:2, pages 490-506.
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Ibrahim Aldhari, Meshal Almoshaogeh, Arshad Jamal, Fawaz Alharbi, Majed Alinizzi & Husnain Haider. (2022) Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques. Applied Sciences 13:1, pages 233.
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Subha Koley, Sourav Mondal & Prasun Ghosal. (2022) Smart Prediction of Severity in Vehicular Crashes: A Machine Learning Approach. Smart Prediction of Severity in Vehicular Crashes: A Machine Learning Approach.
Farshid Afshar, Seyedehsan Seyedabrishami & Sara Moridpour. (2022) Application of Extremely Randomised Trees for exploring influential factors on variant crash severity data. Scientific Reports 12:1.
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Quan Yuan, Xuecai Xu, Tao Wang & Yuzhi Chen. (2022) Investigating safety and liability of autonomous vehicles: Bayesian random parameter ordered probit model analysis. Journal of Intelligent and Connected Vehicles 5:3, pages 199-205.
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Siddardha Koramati, Bandhan Bandhu Majumdar, Agnivesh Pani & Prasanta K. Sahu. (2022) A registry-based investigation of road traffic fatality risk factors using police data: A case study of Hyderabad, India. Safety Science 153, pages 105805.
Crossref
Crossref
Muriel F. Franco, Erion Sula, Alberto Huertas, Eder J. Scheid, Lisandro Z. Granville & Burkhard Stiller. (2022) SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses. SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses.
Giuseppe Guido, Sina Shaffiee Haghshenas, Sami Shaffiee Haghshenas, Alessandro Vitale, Vittorio Astarita, Yongjin Park & Zong Woo Geem. (2022) Evaluation of Contributing Factors Affecting Number of Vehicles Involved in Crashes Using Machine Learning Techniques in Rural Roads of Cosenza, Italy. Safety 8:2, pages 28.
Crossref
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Kenny Santos, João P. Dias & Conceição Amado. (2022) A literature review of machine learning algorithms for crash injury severity prediction. Journal of Safety Research 80, pages 254-269.
Crossref
Crossref
Hmamed Hala, Cherrafi Anass, Benabbou Rajaa, Benghabrit Youssef & Jose Garza-Reyes. (2021) Machine learning techniques for forecasting the traffic accident severity. Machine learning techniques for forecasting the traffic accident severity.
Arun Chand, S. Jayesh & A.B. Bhasi. (2021) Road traffic accidents: An overview of data sources, analysis techniques and contributing factors. Materials Today: Proceedings 47, pages 5135-5141.
Crossref
Crossref
Zahira Abounoas, Wassim Raphael, Yarob Badr, Rafic Faddoul & Anne Guillaume. (2020) Crash data reporting systems in fourteen Arab countries: challenges and improvement. Archives of Transport 56:4, pages 73-88.
Crossref
Crossref
Sharaf AlKheder, Fahad AlRukaibi & Ahmad Aiash. (2020) Risk analysis of traffic accidents’ severities: An application of three data mining models. ISA Transactions 106, pages 213-220.
Crossref
Crossref
Yanqi Lian, Guoqing Zhang, Jaeyoung Lee & Helai Huang. (2020) Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles. Accident Analysis & Prevention 146, pages 105711.
Crossref
Crossref
Salahadin Seid Yassin & Pooja. (2020) Road accident prediction and model interpretation using a hybrid K-means and random forest algorithm approach. SN Applied Sciences 2:9.
Crossref
Crossref
Camilo Gutierrez-Osorio & César Pedraza. (2020) Modern data sources and techniques for analysis and forecast of road accidents: A review. Journal of Traffic and Transportation Engineering (English Edition) 7:4, pages 432-446.
Crossref
Crossref
Sanaa Elyassami, Yasir Hamid & Tetiana Habuza. (2020) Road Crashes Analysis and Prediction using Gradient Boosted and Random Forest Trees. Road Crashes Analysis and Prediction using Gradient Boosted and Random Forest Trees.
Buket Geyik & Medine Kara. (2020) Severity Prediction with Machine Learning Methods. Severity Prediction with Machine Learning Methods.
Susana García-Herrero, J.M. Gutiérrez, Sixto Herrera, Amin Azimian & M.A. Mariscal. (2020) Sensitivity analysis of driver's behavior and psychophysical conditions. Safety Science 125, pages 104586.
Crossref
Crossref
Jeevith Hegde & Børge Rokseth. (2020) Applications of machine learning methods for engineering risk assessment – A review. Safety Science 122, pages 104492.
Crossref
Crossref
Rachel Aldred, Susana García-Herrero, Esther Anaya, Sixto Herrera & Miguel Ángel Mariscal. (2019) Cyclist Injury Severity in Spain: A Bayesian Analysis of Police Road Injury Data Focusing on Involved Vehicles and Route Environment. International Journal of Environmental Research and Public Health 17:1, pages 96.
Crossref
Crossref
Zhonggui Zhang, Yi Ming & Gangbing Song. (2019) Identify Road Clusters with High-Frequency Crashes Using Spatial Data Mining Approach. Applied Sciences 9:24, pages 5282.
Crossref
Crossref
Shehani N. Ariyathilake & R.M Kapila T. Rathnayaka. (2019) DNN Classifier and Decision Tree-Based Novel Methodology for Analyzing Road Accidents. DNN Classifier and Decision Tree-Based Novel Methodology for Analyzing Road Accidents.
N.H.M. Radzi, I.S.B. Gwari, N.H. Mustaffa & R. Sallehuddin. (2019) Support Vector Machine with Principle Component Analysis for Road Traffic Crash Severity Classification. IOP Conference Series: Materials Science and Engineering 551:1, pages 012068.
Crossref
Crossref
S Saranyadevi, R Murugeswari & S Bathrinath. (2019) Road risk assessment using fuzzy Context-free Grammar based Association Rule Miner. Sādhanā 44:6.
Crossref
Crossref
Camilo Gutierrez-Osorio & Cesar Augusto Pedraza. (2019) Characterizing road accidents in urban areas of Bogota (Colombia): A data science approach. Characterizing road accidents in urban areas of Bogota (Colombia): A data science approach.
Wanguan Qiao, Quanlong Liu, Xinchun Li, Xixi Luo & YuLong Wan. (2018) Using data mining techniques to analyze the influencing factor of unsafe behaviors in Chinese underground coal mines. Resources Policy 59, pages 210-216.
Crossref
Crossref
Tadesse Kebede Bahiru, Dheeraj Kumar Singh & Engdaw Ayalew Tessfaw. (2018) Comparative Study on Data Mining Classification Algorithms for Predicting Road Traffic Accident Severity. Comparative Study on Data Mining Classification Algorithms for Predicting Road Traffic Accident Severity.
Jonardo R. Asor, Gene Marck B. Catedrilla & Jheanel E. Estrada. (2018) A study on the road accidents using data investigation and visualization in Los Baños, Laguna, Philippines. A study on the road accidents using data investigation and visualization in Los Baños, Laguna, Philippines.
Enbo Zhou, Shanjun Mao & Mei Li. (2017) Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City. Investigating street accident characteristics and optimal safe route recommendation: A case study of New York City.