VC Map - Virtual City System by Pavel Nefir

VC Map - Virtual City System

Pavel Nefir

Completed work

Fullstack Engineer

ArcGIS

Mapbox

WebGL

Mapping Services

Project Overview

The virtual city system is an interactive, web-based platform designed to visualize and analyze urban environments in 3D and 2D using GIS (Geographic Information System) technologies. The system integrates ArcGIS and Mapbox to provide accurate spatial data representation, real-time analytics, and user-friendly navigation.

Key Objectives

Develop an interactive, real-time digital twin of a city

Enable users to explore city infrastructure, buildings, roads, and landscapes

Provide geospatial analytics for urban planning, traffic analysis, and environmental monitoring

Support custom layers (e.g., zoning maps, population heatmaps, IoT sensor data)

Ensure smooth performance for large-scale city datasets

Technologies Used

Frontend (User Interface & Visualization)

React.js → Built a highly responsive UI for interacting with 3D maps

Mapbox GL JS → Rendered custom 2D/3D geospatial data with interactive layers

Three.js → Integrated for 3D models (e.g., buildings, terrain)

CesiumJS (Optional) → For high-fidelity 3D visualization

Redux / Zustand → State management for user interactions

Backend (Data Processing & APIs)

Node.js & Express.js → Developed REST APIs for geospatial queries

PostGIS (PostgreSQL + GIS Extension) → Stored and processed geospatial data

ArcGIS Server / API → Provided GIS layers, routing, and spatial analysis tools

MongoDB → Stored real-time sensor data (IoT integrations)

WebSockets (Socket.io) → Real-time data streaming for traffic and environmental changes

Core Features & Functionalities

1. 3D Virtual City Visualization

Display real-time 3D city models with interactive navigation

Load buildings, roads, parks, and landmarks dynamically

Texture mapping for realistic visuals (satellite images, 3D facades)

2. Multi-Layer GIS Data Integration

Toggle between satellite, terrain, and street views

Overlay custom layers like zoning laws, pollution heatmaps, and demographic data

Analyze flood-prone areas, population density, and traffic congestion

3. Route Planning & Navigation

Integrated real-time traffic data for route optimization

Used GraphQL & REST APIs to fetch and update routing information

Custom algorithms for shortest path, alternative routes, and accessibility analysis

4. Real-Time Environmental & IoT Sensor Data

Live tracking of air quality, noise pollution, and temperature

WebSockets for instant updates on environmental changes

Dashboards displaying real-time sensor data from different city zones

5. Data-Driven Urban Planning & Analysis

Simulation tools for infrastructure development & city expansion

Predictive analytics using AI models for traffic forecasting

Historical data visualization for construction planning and climate change impact

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Completed work

Posted Mar 13, 2025

By displaying geodata in a combination of 2D, 3D, and oblique aerial images, VC Map makes it possible to carry out a variety of analyses and simulation GitHub

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