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A Model of Interactive Traffic Management System and Traffic Data Analysis
Author(s) -
Md. Safayat Karim,
Md. Bariul Islam,
Saad Hasan
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20jul836
Subject(s) - law enforcement , computer science , electronic toll collection , software , traffic flow (computer networking) , workbench , toll , management system , floating car data , transport engineering , data mining , computer security , engineering , traffic congestion , operations management , law , visualization , biology , genetics , political science , programming language
The Study introduces a model of interactive traffic management system with a goal of controlling traffic flow, vehicle tracking, traffic control, law enforcement and automated toll collection. The intelligent transport system is one of the principal components of modern urbanization and the current systems are not automated and human error-related. To achieve these goals fifty vehicles seven days data have been analyzed through statistical tools. Data used for this study were collected from Prohori, Onnorokom Electronics Limited. All results was focused on only law enforcement and all analysis results was done using a data mining software named WEKA workbench. Several algorithms were used to find out gaps between engine on time and idle time, detect vehicle which violated rules and classify them for law enforcement and predict vehicle route for next day

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