Optimizing Parking Dynamics in Urban Areas: A Mathematical Model for Pune, Maharashtra

International Journal of Civil Engineering

© 2025 by SSRG - IJCE Journal

Volume 12 Issue 2

Year of Publication : 2025

Authors : Anuradha Anil Pore, Pravin D. Nemade, Shobha Rani Nadupuru

10.14445/23488352/IJCE-V12I2P101

How to Cite?

Anuradha Anil Pore, Pravin D. Nemade, Shobha Rani Nadupuru, "Optimizing Parking Dynamics in Urban Areas: A Mathematical Model for Pune, Maharashtra," SSRG International Journal of Civil Engineering, vol. 12,  no. 2, pp. 1-6, 2025. Crossref, https://doi.org/10.14445/23488352/IJCE-V12I2P101

Abstract:

The absence of parking spaces and the resulting urban congestion are the two more significant problems in rapidly urbanizing places like Pune and Maharashtra. The current parking problems, which are brought on by the fast increase in the number of automobiles, result in heavy traffic, a shortage of space, and decreased mobility. This work proposes a mathematical approach to address these issues by combining adaptive parking capacity and dynamic pricing, which increases parking capacity while lowering traffic. In order to create a model that can decrease traffic and increase parking efficiency, real data was gathered from the busiest parts of the Pune region, including the study area, J.M. Road. According to the developed model, adaptive capacity can minimize congestion by up to 20% during peak hours, while dynamic pricing aids in supply and demand balance. Legislators and urban planners may find these findings helpful in creating more efficient parking structures that support enhanced mobility, smoother traffic flow, and sustainable urban growth. The suggested mathematical model updates Pune's parking infrastructure, which adds to the city's growing urbanization.

Keywords:

Parking optimization, Urban congestion, Adaptive capacity, Dynamic pricing, Traffic management.

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