Optimizing Electric Vehicle Charging Infrastructure: A Site Selection Strategy for Ludhiana, India

Journal Title: Mechatronics and Intelligent Transportation Systems - Year 2024, Vol 3, Issue 3

Abstract

This study investigates the spatial distribution and potential expansion of electric vehicle (EV) charging infrastructure in Ludhiana, India, with a focus on optimizing site selection to accommodate increasing demand. A multi-criteria framework was employed, incorporating traffic volume, demographic data, and usage patterns of existing charging stations to identify high-priority locations. Central commercial zones, including Ghumar Mandi, Feroze Gandhi Market, ISBT Ludhiana, and Ludhiana Railway Station, were found to exhibit significant traffic density and high EV ownership rates, making them prime candidates for the establishment of new charging stations. Spatial analysis, including heat maps, bar graphs, and pie charts, was used to visualize these key areas, revealing critical patterns in demand and facilitating the strategic targeting of infrastructure expansion. Community engagement was emphasized as an essential component in ensuring that infrastructure development aligns with user needs and preferences. The study further highlighted the importance of accessibility, economic viability, and sustainability as pivotal criteria for site selection. The findings offer valuable insights for urban planners and policymakers, supporting the development of a robust EV charging network that contributes to the advancement of sustainable urban mobility and the reduction of carbon emissions in Ludhiana. These results provide a basis for informed decision-making in the design of EV infrastructure, guiding the city's efforts towards an eco-friendly, future-ready transportation system.

Authors and Affiliations

Harpreet Kaur Channi

Keywords

Related Articles

Optimizing Electric Vehicle Charging Infrastructure: A Site Selection Strategy for Ludhiana, India

This study investigates the spatial distribution and potential expansion of electric vehicle (EV) charging infrastructure in Ludhiana, India, with a focus on optimizing site selection to accommodate increasing demand. A...

Assessing Automatic Dependent Surveillance-Broadcast Signal Quality for Airplane Departure Using Random Forest Algorithm

This study aims to assess the safety level of the Automatic Dependent Surveillance-Broadcast (ADS-B) signal quality during airplane departures at Sultan Mahmud Badaruddin II Airport. The Aero-track application was utiliz...

Enhancing Cold Chain Logistics: A Framework for Advanced Temperature Monitoring in Transportation and Storage

In the face of the increasingly demanding of goods transportation and storage, the orchestration of cold chain logistics emerges as a critical and multifaceted endeavor. This study, addressing a notable gap in literature...

Design and Testing of Cooperative Motion Controller for UAV-UGV System

Unmanned ground vehicles (UGVs) and quadrotor unmanned aerial vehicles (UAVs) can work together to solve challenges like intelligent transportation, thanks to their excellent performance complements in perception, loadin...

Performance Evaluation of a Four-Legged Signalized Intersection with Variable Traffic Flow Dynamics

The rapid growth of population and vehicular traffic has necessitated effective urban planning strategies to mitigate traffic congestion and enhance roadway efficiency. This study focuses on a critical signalized interse...

Download PDF file
  • EP ID EP752438
  • DOI -
  • Views 12
  • Downloads 0

How To Cite

Harpreet Kaur Channi (2024). Optimizing Electric Vehicle Charging Infrastructure: A Site Selection Strategy for Ludhiana, India. Mechatronics and Intelligent Transportation Systems, 3(3), -. https://europub.co.uk./articles/-A-752438