Rate the Article: Application of K-Nearest Neighbours in Regression Modelling for Solving Transportation Problems, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 1 | Views: 252 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Study Papers | Business Management | India | Volume 12 Issue 7, July 2023 | Rating: 4.4 / 10


Application of K-Nearest Neighbours in Regression Modelling for Solving Transportation Problems

PHNSV Subba Rao


Abstract: This study presents a regression model using the K-Nearest Neighbours KNN technique to estimate average travel time in transportation networks. The model considers factors such as route length, route width, and historic traffic patterns. The application of this model can aid in effective traffic management and planning, thereby minimizing disruptions and inconvenience to users.


Keywords: Traffic pattern, End users, Transportation Problem, Regression Modeling, K-Nearest Neighbours


Edition: Volume 12 Issue 7, July 2023,


Pages: 1089 - 1089



Rate this Article


Select Rating (Lowest: 1, Highest: 10)

5

Your Comments (Only high quality comments will be accepted.)

Characters: 0

Your Full Name:


Your Valid Email Address:


Verification Code will appear in 2 Seconds ... Wait

Top