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Web application for traffic monitoring and guidance
, A. Teja, P. Naveen, J.M. Chatterjee, , A.E. Hassanien
Published in Success Culture Press
2020
Volume: 10
   
Issue: 4
Pages: 1 - 14
Abstract
Nowadays, it is becoming challenging in populated cities like Bangalore, India, to control the Traffic or divert the Traffic. The Traffic authority cannot control Traffic all at a time and cannot collect fines or penalties from people since everything is moving digital. There are many problems like traffic congestions, surveillance. So, we want to help the traffic authority with our Stand-Alone Web Application, which helps them get insights into Traffic, control traffic, do the surveillance, and all other features. It can be used in situations where real-time surveillance is required to get the traffic insights, trends in traffic flow in a particular location are needed. With the help of those insights, the vehicles can be diverted, or any other solutions can be implemented. Since many machine learning models are created but not implemented, we decided to create an Application with our model. Herewith this application, we want to help the Govt. or Traffic Authority get Traffic's insights. Predict the future Vehicle flows from the prediction module implemented with LSTM neural network and have metrics values, i.e., Mean Squared Error MSE = 95.328306. Root Mean Squared error RMSE=9.763622. They can also use this application for all the real-time surveillance with Vehicle Plate Recognition. It also has the feature like Penalty for traffic violations which can be directly notified to the user through the mail after the Admin approval. © 2020, Success Culture Press. All rights reserved.
About the journal
JournalJournal of System and Management Sciences
PublisherSuccess Culture Press
ISSN18166075