RouteIntegrity AI 🚗🛡️

An AI-powered route integrity and fraud detection system that monitors a driver's journey against a user-approved route and identifies suspicious deviations.

🎯 Goal

RouteIntegrity AI is designed to answer:

"Is the driver actually taking the route that was agreed upon?"

The system establishes an approved route between a user's source and destination, continuously monitors the driver's GPS location during the trip, and detects significant or suspicious deviations.

🔄 How It Works

User
 │
 ├── Start Location
 ├── Destination
 │
 ▼
Backend
 │
 ├── Validate Trip
 ├── Generate Expected Route
 └── Store Approved Route
 │
 ▼
Driver + User Agree
 │
 ▼
Route Detector Enabled
 │
 ▼
Continuous GPS Tracking
 │
 ▼
RouteIntegrity AI
 │
 ├── Monitor Route
 ├── Analyze Deviation
 ├── Detect Suspicious Behavior
 └── Generate Decision
 │
 ▼
LEGITIMATE / SUSPICIOUS / FRAUD
 │
 ▼
High-Risk Incident
 │
 ▼
Authorized Emergency / Police Escalation

🧠 Detection Pipeline

1. validate_trip

Validates the source, destination, driver agreement, approved route, and required GPS information before monitoring begins.

2. monitor_route

Compares the driver's current location and movement with the approved route.

3. analyze_deviation

Analyzes significant deviations and considers legitimate explanations such as:

• Traffic
• Road closures
• One-way roads
• Road restrictions
• Alternative valid routes

4. fraud_decision

Classifies the journey as:

• LEGITIMATE
• SUSPICIOUS
• FRAUD

The decision should include confidence, evidence, and recommended action.

5. escalate_incident

High-risk incidents can be escalated through an authorized backend/emergency integration.

The AI itself should not independently contact authorities.

📡 Example Trip

{
  "source": "Kolkata Airport",
  "destination": "Howrah Station",
  "approvedRouteId": "route_123",
  "currentLocation": {
    "lat": 22.5726,
    "lng": 88.3639
  },
  "distanceFromRoute": 850,
  "deviationDuration": 180,
  "movingTowardDestination": false
}

Possible result:

{
  "status": "SUSPICIOUS",
  "confidence": 0.91,
  "routeDeviation": true,
  "reason": "Driver has significantly deviated from the approved route and is moving away from the destination.",
  "recommendedAction": "INVESTIGATE"
}

🏗️ Proposed API

POST /trips
POST /trips/:id/approve-route
POST /trips/:id/start-detector
POST /trips/:id/location
POST /trips/:id/stop-detector

The /location endpoint receives live GPS updates while the detector is active.

⚙️ Architecture Principle

The system should not send every GPS coordinate directly to the AI.

Instead:

GPS
 ↓
Backend
 ↓
Map / Route Validation
 ↓
Detect Significant Deviation
 ↓
AI Analysis
 ↓
Fraud Decision

Deterministic route calculations should handle straightforward geographic validation, while AI should analyze behavioral patterns and suspicious deviations.

🔐 Safety & Privacy

• Route monitoring should only begin after appropriate user/driver agreement.
• GPS data should be transmitted securely.
• Store only information required for the trip and investigation.
• Avoid automatically declaring fraud from a single GPS deviation.
• Emergency escalation should require explicit backend rules and authorized integrations.

🚀 Project Status

Early development

Current focus:

• Trip creation
• Route generation
• User/driver route agreement
• GPS tracking
• Route deviation detection
• AI fraud analysis
• Incident management
• Authorized emergency integration

📌 Vision

RouteIntegrity AI aims to provide an additional safety layer for ride-sharing and transportation platforms by detecting route manipulation and unusual driver behavior in real time.

Know the route. Monitor the journey. Detect the deviation.