Downloads: 1
India | Business Management | Volume 12 Issue 7, July 2023 | Pages: 1089 - 1089
Application of K-Nearest Neighbours in Regression Modelling for Solving Transportation Problems
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
How to Cite?: PHNSV Subba Rao, "Application of K-Nearest Neighbours in Regression Modelling for Solving Transportation Problems", Volume 12 Issue 7, July 2023, International Journal of Science and Research (IJSR), Pages: 1089-1089, https://www.ijsr.net/getabstract.php?paperid=MR23713200616, DOI: https://dx.doi.org/10.21275/MR23713200616