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SafeDrive: Location Based Road Traffic Accidents Prediction System

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dc.contributor.author Sri Ramachandra Bharathi Namalge, Sanduni Bhagya
dc.date.accessioned 2024-03-12T09:00:19Z
dc.date.available 2024-03-12T09:00:19Z
dc.date.issued 2023
dc.identifier.citation Sri Ramachandra Bharathi Namalge Sanduni Bhagya, Sanduni (2023) SafeDrive: Location Based Road Traffic Accidents Prediction System. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2018434
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1849
dc.description.abstract "Traffic accidents have been a serious problem since the introduction of the automobile. Despite this worry, there have been substantial societal and economic effects of road safety issues throughout the past century. Understanding these safety concerns and the necessity of mitigating them requires the identification of regions that reflect a higher vehicle crashes probability than an accepted standard. In this project, a web application that predicts traffic accidents at specific points along a driver's route will be created. Using the date, time, origin, and destination of the trip, this program forecasts traffic accidents for upcoming dates. It helps users to plan their trips and view potential traffic hazards in real-time. Therefore, this research aims to design, develop, and test an application that will facilitate drivers to predict a road traffic accident at certain locations along the driver’s route beforehand by getting details of the trip and the driver and save lives and properties by mitigating the traffic accident, with the use of ensemble learning technique." en_US
dc.language.iso en en_US
dc.publisher IIT en_US
dc.subject Traffic accidents Sri Lanka en_US
dc.subject Accident severity en_US
dc.subject Traffic hazard’s locations en_US
dc.title SafeDrive: Location Based Road Traffic Accidents Prediction System en_US
dc.type Thesis en_US


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