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AI-Powered | Urban Resilience | Graph Intelligence

GIS-Based Smart Route Intelligence & Optimization

AI-powered route intelligence & predictive optimization for urban resilience.

Our GIS-based Route Resilience System combines satellite imagery, deep learning segmentation, and graph-theoretic analysis to extract road networks, heal occlusions, identify critical junctions, and simulate disaster impacts. Built for urban planners, disaster response teams, and smart city initiatives, it provides real-time route optimization, bottleneck detection, and resilience scoring. The system transforms raw satellite data into an interactive decision-support dashboard for resilient urban mobility.

GIS-Based Smart Route Intelligence & Optimization

92%

Segmentation Accuracy

87%

Healing Success

< 30 sec

Response Time

5+

Disaster Types

System Profile

End-to-End Route Resilience Pipeline

From satellite imagery to resilience analytics β€” our system processes geospatial data through AI and graph theory to deliver actionable urban mobility intelligence.

System Profile 1
1

Satellite Data Ingestion

Acquire high-resolution optical, SAR, and multispectral imagery (Cartosat, Sentinel, Landsat).

2

AI Road Segmentation

DeepLabV3+/SegFormer for occlusion-robust road extraction from satellite tiles.

3

Skeletonization & Graph Building

Thinning masks to centerlines, extracting nodes and edges using sknw and NetworkX.

4

Topological Healing (GeoHeal)

Connecting broken road segments using distance, angular, and curvature heuristics.

5

Criticality Analysis

Betweenness centrality to identify gatekeeper nodes and vulnerable links.

6

Disaster Stress Simulation

Node/edge ablation to simulate floods, blockages, and compute resilience indices.

7

Interactive Dashboard

Streamlit + Leaflet for real-time visualization, simulation, and decision support.

Core Capabilities

Route Resilience Features

Occlusion-Robust Segmentation

AI models trained to handle tree canopies, shadows, clouds, and urban clutter for reliable road extraction.

Topological Graph Healing (GeoHeal)

Intelligent reconnection of broken road segments using distance, angular alignment, and curvature heuristics.

Criticality Analysis

Betweenness centrality to identify high-risk intersections, bottlenecks, and gatekeeper nodes.

Disaster Stress Simulation

Simulate floods, accidents, or road closures and analyze network efficiency loss, travel time inflation, and alternative routes.

Resilience Index & Metrics

Quantitative resilience score (R) comparing baseline vs perturbed network efficiency.

Interactive Decision Dashboard

Map-based UI with heatmaps, clickable disaster simulation, and real-time analytics for non-technical stakeholders.

Technical Deep-Dive

Core Technologies

Ingests optical, SAR, and multispectral data from global and Indian satellite missions (Cartosat, Sentinel, Landsat, Resourcesat).

Key Features

  • Cartosat-3 (0.25m)
  • Sentinel-1/2 (10m)
  • Landsat-8/9 (15-30m)
  • Resourcesat LISS-IV (5.8m)

Specifications

Resolution Range

0.25m – 30m

Update Frequency

24-72 hours

Intelligence Engine

Intelligent Route Resilience Engine

Our platform combines vision, graph theory, and geospatial analytics to deliver actionable intelligence for urban mobility resilience.

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Satellite Data Processing

Ingests, co-registers, and tiles optical, SAR, and multispectral imagery for AI inference.

GeoTIFFRasterioGDAL
🧠

AI Road Segmentation

DeepLabV3+/SegFormer to produce high-quality binary road masks under occlusions.

PyTorchSegmentationOcclusion-Robust
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Skeletonization & Graph Generation

Converts binary masks to centerline skeletons and builds NetworkX graph of nodes and edges.

SkeletonizesknwNetworkX
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Topological Healing (GeoHeal)

Reconnects broken segments using distance, angular alignment, and curvature cost function.

HealingMSTDSU
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Criticality & Resilience Analytics

Betweenness centrality for gatekeeper nodes; resilience index via stress testing (node/edge ablation).

CentralityResilienceStress Testing
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Interactive Decision Dashboard

Streamlit + Leaflet dashboard with heatmaps, disaster simulation, and real-time analytics.

StreamlitLeafletPlotly
Data Sheet

Technical Specifications

Model ArchitectureDeepLabV3+ (ResNet50) / SegFormer B2
FrameworkPyTorch + segmentation_models_pytorch
AugmentationAlbumentations (occlusion, blur, shadow simulation)
Inference Time~2 sec per 512x512 tile
Market Opportunity

Applications & Target Audience

Urban Planning & Smart City Development
Disaster Management & Emergency Response
Logistics & Supply Chain Route Optimization
Infrastructure Vulnerability Assessment
Traffic Management & Bottleneck Detection
Government Policy & Resilience Planning
Why Choose Us

The Route Resilience Advantage

Aspect
Traditional Approach
Flow Master AI
Road Extraction
Manual digitization / Basic ML
AI-driven occlusion-robust segmentation
Network Connectivity
Disconnected due to occlusions
Topological healing (GeoHeal) for connected graph
Criticality Analysis
Manual traffic surveys
Betweenness centrality & gatekeeper detection
Disaster Simulation
Static maps
Dynamic stress testing with resilience index
Decision Support
Spreadsheets & reports
Interactive dashboard with real-time simulation
Scalability
Limited to small regions
Modular, cloud-ready, city-scale
Innovation Showcase

Novel Technology & Features

AI Innovation

Occlusion-Robust Road Extraction

Specially trained to recover roads hidden under trees, shadows, and clouds.

Graph Breakthrough

Topological Healing (GeoHeal)

Intelligent graph healing using distance, angular, and curvature heuristics for seamless networks.

Disaster Intelligence

Resilience Index & Stress Testing

Quantitative resilience scoring with node/edge ablation to simulate disasters.

Product Imagery

Visual Reference

Satellite Road Segmentation Output

Satellite Road Segmentation Output

Graph Healing & Criticality Heatmap

Graph Healing & Criticality Heatmap

Disaster Simulation Dashboard

Disaster Simulation Dashboard

Ready to build resilient cities with AI-powered route intelligence?

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