Research Methodology

Comprehensive approach to traffic analysis using geospatial technologies

01

Data Collection

  • Road network data from OpenStreetMap
  • Traffic volume surveys
  • Public transport routes and schedules
  • Satellite imagery and aerial photography
02

GIS Analysis

  • Spatial analysis using QGIS
  • Network analysis for route optimization
  • Hotspot analysis for congestion identification
  • Buffer analysis for impact assessment
03

Data Processing

  • Python scripting for data automation
  • GeoPandas for spatial data manipulation
  • Statistical analysis for pattern recognition
  • Data visualization with Matplotlib
04

Solution Development

  • Multi-criteria decision analysis
  • Cost-benefit analysis of proposed solutions
  • Stakeholder impact assessment
  • Implementation feasibility study

Technical Tools & Technologies

QGIS

Geographic Information System for spatial analysis and mapping

Python

Data processing, analysis, and automation scripts

GeoJSON

Spatial data format for web mapping and analysis

Data Analysis

Statistical analysis and visualization libraries