Spatially Gridded Vehicle Count Analysis for Connaught Place, New Delhi

Our Gridded Vehicle Count Analysis for Connaught Place, New Delhi, is a detailed geospatial analysis focusing on vehicular emissions in a highly trafficked urban area. Here's an overview:

Objective

The analysis aims to quantify vehicle density in Connaught Place, a major commercial and tourist hub, by generating a spatially gridded vehicle count dataset. By doing this, the project provides insights into traffic patterns and potential emission hotspots, supporting air quality forecasts and urban planning.

Data Collection

Satellite Imagery: You collected high-resolution WorldView satellite imagery, zoomed specifically over Connaught Place to ensure the detail needed for vehicle detection.

Image Preprocessing: Using PyQGIS, you loaded the satellite imagery, created a 0.09-degree buffer around Connaught Place, and generated a grid layer with 150m x 150m cells to spatially segment the area for analysis.

Geotagged .tiff Files: The images were exported as geotagged .tiff files, preserving spatial information for each grid cell, facilitating precise location-based analysis.

Detection and Analysis

Object Detection Models: You employed YOLOv8 through YOLOv10 and other state-of-the-art deep learning models to detect various vehicle types, such as cars, buses, and trucks. This approach helped accurately identify vehicle counts in real time.

Class-wise Detection: Specific object classes were defined, allowing for detailed counts by vehicle type, which is crucial for emission factor calculations.

Result Export: The detected vehicle counts and corresponding latitude/longitude data were stored in netCDF files, enabling the creation of gridded emission inventories.

Outcomes and Applications

The gridded dataset enables real-time monitoring of vehicular density and emissions over time. This data:

Enhances air quality models by integrating localized emission sources.

Assists policymakers in targeting emission reduction initiatives.

Provides a foundational layer for studies on urban traffic flow and its environmental impacts in high-density zones like Connaught Place.

In summary, this analysis provides a scientifically robust and spatially precise view of vehicular density, supporting both atmospheric studies and practical urban management decisions.