[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290695-105":59,"doc-detail-290695-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","prediction-of-accident-severity-using-machine-learning-algorithms","Prediction of Accident Severity Using Machine Learning Algorithms","","Vehicle accidents can leave lasting physical and psychological impacts. The study focuses on crash severity prediction to help agencies understand variables behind accident outcomes and forecast fatalities, serious injuries, or minor injuries. A prediction framework is built using a publicly available Kaggle dataset originally released by the UK Department of Transport. Three tuned machine learning models—Random Forest, Logistic Regression, and Decision Tree—are trained and evaluated with accuracy, precision, recall, F1 score, and confusion matrices. Results show Random Forest and Decision Tree as strongest for classifying all three severity categories.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/prediction-of-accident-severity-using-machine-learning-algorithms/290695/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/prediction-of-accident-severity-using-machine-learning-algorithms/290695.png","ImageObject",300,407,{"name":92,"@type":93},"Levi","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",14,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the main goal of the research?","Question",{"text":113,"@type":114},"To use machine learning algorithms to predict the level of damage caused by an accident and classify its severity.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which dataset and source are used?",{"text":118,"@type":114},"The study uses a publicly available dataset from Kaggle, originally released by the UK Department of Transport.",{"name":120,"@type":111,"acceptedAnswer":121},"Which machine learning models are compared and how do they perform?",{"text":122,"@type":114},"Random Forest, Logistic Regression, and Decision Tree are fine-tuned with hyperparameters; Random Forest (86.23%) and Decision Tree (86.23%) perform best overall, while Logistic Regression (85.60%) predicts the third class less effectively.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290695,1789642377,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},7971461740909,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Prediction of Accident Severity Using Machine Learning Algorithms  \nMSc Research Project Data Analytics  \nDhruv Vimal Shah  \nStudent ID: X21121087  \nSchool of Computing National College of Ireland  \nSupervisor: Qurrat Ul Ain  \nNational College of Ireland Project Submission Sheet School of Computing  \n| Student Name: | Dhruv Vimal Shah |\n| --- | --- |\n| Student ID: | X21121087 |\n| Programme: | Data Analytics |\n| Year: | 2023 |\n| Module: | MSc Research Project |\n| Supervisor: | Qurrat Ul Ain |\n| Submission Due Date: | 15/12/2022 |\n| Project Title: | Prediction of Accident Severity Using Machine Learning Algorithms |\n| Word Count: | 7106 |\n| Page Count: | 20 |\n\nI hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: | Dhruv Vimal Shah |\n| --- | --- |\n| Date: | 1st February 2023 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nPrediction Of Accident Severity Using Machine  \nLearning Algorithms  \nDhruv Vimal Shah  \nX21121087  \nAbstract  \nVehicle accidents are among the most terrifying experiences a person can have, and at times leaves a lifelong mark on the victim. Accidents and collisions area regular phenomenon, that keeps happening frequently as a direct result of the recklessness of drivers, road conditions, and other environmental conditions. Using crash severity prediction models, various government agencies can get insights into the variables that influence the incidence, allowing them to forecast the severity of an accident. With the aid of accident data, machine learning algorithms can help to find patterns that might help predict the severity of an accident, like fatalities, serious injuries, or just minor injuries. The fundamental purpose of the research was to provide a way to use machine learning algorithms to predict the level of damage caused by an accident. In this study, we made a prediction framework and used three different machine learning algorithms—random forest, logistic regression, and decision tree—to figure out how bad the accident’s impact could be. This study carried out three experiments using a publicly available dataset collected from the Kaggle repository, originally released by the UK Department of Transport. Each of the algorithms was fine-tuned with hyperparameters to boost the classification prediction to gain the best possible results for the study. The random forest model was 86.23% accurate, the logistics regression model was 85.60% accurate, and the decision tree model was 86 .23% accurate. The results demonstrate that Random Forest and Decision Tree were the best algorithms in terms of accurately predicting all three accident severity classes, as opposed to Logistic Regression, which only predicted the third class. Following the construction of the models, the results of the experiments were analysed with performance metr","cbCaiqjSbtCVQ4Zc","https://ap.wps.com/l/cbCaiqjSbtCVQ4Zc","pdf",3432572,22,"English","# Abstract\n## 1 Introduction","[{\"question\":\"What is the main goal of the research?\",\"answer\":\"To use machine learning algorithms to predict the level of damage caused by an accident and classify its severity.\"},{\"question\":\"Which dataset and source are used?\",\"answer\":\"The study uses a publicly available dataset from Kaggle, originally released by the UK Department of Transport.\"},{\"question\":\"Which machine learning models are compared and how do they perform?\",\"answer\":\"Random Forest, Logistic Regression, and Decision Tree are fine-tuned with hyperparameters; Random Forest (86.23%) and Decision Tree (86.23%) perform best overall, while Logistic Regression (85.60%) predicts the third class less effectively.\"}]","Prediction of Accident Severity Using Machine Learning Algorithms | PDF",55]