Automated machine learning for analysis and prediction of vehicle crashes

نویسندگان

چکیده

<p>This work discusses the study and development of a graphical interface implementation machine learning model for vehicle traffic injury fatality prediction specified date range certain zip (US postal) code based on New York City's (NYC) crash data set. While previous studies focused accident causes, little insight has been offered into how such may be utilized to forecast future incidents, Studies that have historically concentrated road segment types, as highways other streets, specific geographic region, this offers citywide review collisions. Using cutting-edge database networking technology, user-friendly was created display series. Following this, support-vector built evaluate likelihood an consequent injuries deaths at level all NYC better mitigate events. visualization approach, findings show it is efficient accurate. Aside from transportation experts government policymakers, approach deliver useful insights insurance business since quantifies collision risk collected places.</p>

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ژورنال

عنوان ژورنال: International Journal of Informatics and Communication Technology

سال: 2023

ISSN: ['2722-2616', '2252-8776']

DOI: https://doi.org/10.11591/ijict.v12i1.pp46-53