Automated Traffic Controller using logistic regression: A Solution to Inefficient Traffic Management Systems

Registration ID: IJNRD_195366

Published ID: IJNRD2305321

DOI: Click Here to Get

Uday K H , Anand Reddy L , Kumaraditya G V

Automated traffic controller using logistic regression uses vehicle motion detection and prediction which is a complex problem that require analyzing and understanding the motion of a vehicle over time. Analyzing and predicting relationships between dependent and independent variables is possible using logistic regression, a widely used statistical method which makes it a suitable tool for this task. This paper is directly related to the traffic monitoring where the process of collecting data on traffic flow, vehicle movement, and other related variables to analyze and optimize traffic management. Furthermore, by combining the information from multiple logistic regression models, traffic monitoring systems can provide a more comprehensive view of the traffic conditions across a larger area. This information can be used it identify trends in traffic flow, predict future traffic patterns, and make more informed decisions about traffic management. In conclusion, Prediction of vehicle motion using logistic regression is an essential component of traffic monitoring systems.

Published Paper   E-Certificate

Uday K H, Anand Reddy L, & Kumaraditya G V (May-2023). Automated Traffic Controller using logistic regression: A Solution to Inefficient Traffic Management Systems. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d141-d147. https://ijnrd.org/papers/IJNRD2305321.pdf

Volume 8 Issue 5, May-2023

Pages : d141-d147

Paper Reg. ID: IJNRD_195366

Published Paper Id: IJNRD2305321

Downloads: 000121982

Research Area: Information Technology 

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305321.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305321

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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