Data

Tools

Indexes

Applications

Experiments

Open Source Science

.github

https://github.com/gtu-graduation-project-2/.github

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: GTU-Graduation-Project-2
  • Default Branch: main
  • Size: 28.3 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme Citation

README.md

.github

Owner

  • Name: GTU-Graduation-Project-2
  • Login: GTU-Graduation-Project-2
  • Kind: organization

Citation (CITATION.cff) 

# Citation File Format (CFF) for the EV Charging Station Planner Project


cff-version: 1.0.0
message: "If you use this software in your work, please cite it using the following metadata."
title: "EV Charging Station Planner: An Optimization and Visualization Tool"


authors:
  - family-names: "Yıldız"
    given-names: "Çağrı"
    affiliation: "Gebze Technical University"
  - family-names: "Taşkın"
    given-names: "Furkan"
    affiliation: "Gebze Technical University"

# GitHub repository URL
repository-code: "https://github.com/GTU-Graduation-Project-2"

abstract: >-
  A graphical user interface (GUI) tool for solving the electric vehicle
  (EV) charging station location problem. This software implements both
  Mixed Integer Programming (MIP) and Genetic Algorithm (GA) approaches
  to find optimal station placements based on user-defined parameters,
  home locations, and candidate sites. It features an interactive map for
  data input, a trip-based demand generator for realistic simulations,
  and visualization tools including results charts and heatmaps of travel
  frequency. The tool is designed as a decision-support system for urban
  infrastructure planning.

# Keywords to help discover the software
keywords:
  - "Electric Vehicles"
  - "Charging Stations"
  - "Optimization"
  - "Location-Allocation"
  - "Mixed-Integer Programming"
  - "Genetic Algorithm"
  - "Decision Support System"
  - "GUI"
  - "Tkinter"


license: "MIT"

type: software

version: 1.0.0

# Date of the software release
date-released: 2025-06-29


preferred-citation:
  type: report
  title: "Efficient Allocation of Electric Vehicles Charging Stations: Optimization Model and Application to a Dense Urban Network"
  authors:
    - family-names: "Yıldız"
      given-names: "Çağrı"
      affiliation: "Gebze Technical University"
    - family-names: "Taşkın"
      given-names: "Furkan"
      affiliation: "Gebze Technical University"
  institution:
    name: "Gebze Technical University"
    department: "Department of Computer Engineering"
  year: 2025
  date-accessed: 2025-06-29 
  location:
    city: "Gebze"
    country: "TR"
  notes: "Undergraduate Graduation Project supervised by Prof. Dr. Didem Gözüpek."

GitHub Events

Total
  • Push event: 7
  • Create event: 2
Last Year
  • Push event: 7
  • Create event: 2