International Journal Of Imaging

Abstract

SUSTAINABLE TRAFFIC MANAGEMENT APPROACH: EVALUATING THE EFFECTIVENESS OF PADAAV FOR PARKING PRICE PREDICTION

Author: Nikhil.B,Anil.G,Saketh Rao.P,Bhargavi.T

Abstract:

The objective of this study is to assess the effectiveness of the Parking Price Prediction based on the PADaaV framework for sustainable traffic management. This will involve evaluating the model’s accuracy and its potential to optimize parking pricing strategies in urban areas. The title "A Sustainable Traffic Management Approach: Evaluating the Effectiveness of PADaaV for Parking Price Prediction" suggests a focus on developing environmentally friendly and efficient traffic management solutions. The PADaaV framework refers to a method or algorithm designed for predicting parking prices, which is vital for improving urban traffic flow and reducing congestion. Historically, parking management relied on static pricing models and manual monitoring to gauge demand, leading to inefficient use of resources. Traditional systems often involved physical signage for price changes and limited data collection, resulting in suboptimal pricing strategies Before the integration of machin