Crash Detection

// Fleet-wide automatic crash detection system
class FleetCrashDetectionSystem {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.activeDevices = new Map();
    this.emergencyContacts = new Map();
  }

  // Monitor all fleet devices for crash events
  async monitorFleetSafety(fleetDevices) {
    for (const device of fleetDevices) {
      this.activeDevices.set(device.device_id, {
        ...device,
        lastUpdate: Date.now(),
        crashDetected: false
      });
      
      // Set up real-time monitoring for each device
      this.setupDeviceMonitoring(device);
    }
  }

  setupDeviceMonitoring(device) {
    // WebSocket connection for real-time telemetry
    const ws = new WebSocket(`wss://api.bookovia.com/v1/streaming/telemetry/${device.device_id}`);
    
    ws.onmessage = (event) => {
      const telemetryData = JSON.parse(event.data);
      
      if (telemetryData.type === 'accelerometer_event') {
        this.analyzeCrashPotential(device.device_id, telemetryData);
      }
    };
    
    ws.onerror = (error) => {
      console.error(`Monitoring error for device ${device.device_id}:`, error);
      // Implement fallback monitoring
      this.setupFallbackMonitoring(device);
    };
  }

  analyzeCrashPotential(deviceId, telemetryData) {
    const { acceleration, magnitude } = telemetryData;
    
    // Crash detection threshold (5.0 G minimum)
    if (magnitude >= 5.0) {
      this.handlePotentialCrash(deviceId, telemetryData);
    }
    
    // Pre-crash warning (3.0-4.9 G range)
    else if (magnitude >= 3.0) {
      this.handlePreCrashEvent(deviceId, telemetryData);
    }
  }

  async handlePotentialCrash(deviceId, telemetryData) {
    const device = this.activeDevices.get(deviceId);
    if (!device || device.crashDetected) return;
    
    // Mark as crash detected to prevent duplicates
    device.crashDetected = true;
    
    try {
      // Get additional context data
      const contextData = await this.gatherCrashContext(deviceId);
      
      // Prepare comprehensive crash report
      const crashReport = {
        device_id: deviceId,
        trip_id: contextData.currentTripId,
        event_timestamp: new Date().toISOString(),
        impact_data: {
          acceleration_g_force: {
            x: telemetryData.acceleration.x,
            y: telemetryData.acceleration.y,
            z: telemetryData.acceleration.z
          },
          collision_magnitude: telemetryData.magnitude,
          impact_duration_ms: telemetryData.duration || 500,
          impact_direction: this.calculateImpactDirection(telemetryData.acceleration)
        },
        vehicle_data: contextData.vehicleData,
        location: contextData.location,
        environmental_data: contextData.environmental
      };
      
      // Report crash to emergency system
      const response = await this.reportCrashDetection(crashReport);
      
      // Handle emergency response
      await this.handleEmergencyResponse(deviceId, response);
      
      // Notify fleet management
      await this.notifyFleetManagement(deviceId, response);
      
    } catch (error) {
      console.error(`Crash handling failed for device ${deviceId}:`, error);
      // Emergency fallback
      await this.emergencyFallback(deviceId, telemetryData);
    }
  }

  async gatherCrashContext(deviceId) {
    // Gather additional data for crash analysis
    const [tripData, vehicleData, locationData, weatherData] = await Promise.all([
      this.getCurrentTripData(deviceId),
      this.getVehicleSystemData(deviceId),
      this.getCurrentLocation(deviceId),
      this.getWeatherConditions(deviceId)
    ]);
    
    return {
      currentTripId: tripData.trip_id,
      vehicleData: {
        speed_before_impact: vehicleData.speed,
        airbag_deployment: vehicleData.airbag_status === 'deployed',
        seatbelt_status: vehicleData.seatbelt_status,
        brake_applied: vehicleData.brake_pressed,
        abs_activated: vehicleData.abs_active
      },
      location: locationData,
      environmental: {
        weather_conditions: weatherData.conditions,
        road_conditions: weatherData.road_surface,
        visibility: weatherData.visibility,
        time_of_day: this.getTimeOfDay()
      }
    };
  }

  async handleEmergencyResponse(deviceId, crashResponse) {
    const device = this.activeDevices.get(deviceId);
    
    // Log emergency response details
    console.log(`Emergency Response for ${deviceId}:`, crashResponse);
    
    // If high severity, implement additional safety measures
    if (crashResponse.severity_level === 'high' || crashResponse.severity_level === 'critical') {
      // Enable continuous location sharing
      await this.enableEmergencyTracking(deviceId, crashResponse.incident_id);
      
      // Alert nearby fleet vehicles for assistance
      await this.alertNearbyVehicles(device.location, crashResponse);
      
      // Dispatch company emergency response team
      await this.dispatchCompanyEmergencyTeam(deviceId, crashResponse);
    }
    
    // Update fleet management dashboard
    await this.updateEmergencyDashboard(deviceId, crashResponse);
  }

  async alertNearbyVehicles(crashLocation, crashResponse) {
    // Find vehicles within 5km of crash site
    const nearbyVehicles = Array.from(this.activeDevices.values()).filter(device => {
      const distance = this.calculateDistance(crashLocation, device.location);
      return distance <= 5.0; // 5km radius
    });
    
    // Send alerts to nearby drivers
    for (const vehicle of nearbyVehicles) {
      await this.sendDriverAlert(vehicle.device_id, {
        type: 'nearby_emergency',
        incident_id: crashResponse.incident_id,
        distance_km: this.calculateDistance(crashLocation, vehicle.location),
        severity: crashResponse.severity_level,
        message: 'Emergency incident nearby. Use caution and consider alternative routes.'
      });
    }
  }

  async dispatchCompanyEmergencyTeam(deviceId, crashResponse) {
    // Company emergency response for serious incidents
    const emergencyTeam = {
      safety_coordinator: true,
      supervisor_dispatch: true,
      company_medic: crashResponse.severity_level === 'critical',
      legal_representative: true,
      insurance_adjuster: true
    };
    
    // Send notifications to company emergency team
    await this.notifyCompanyEmergencyTeam(deviceId, crashResponse, emergencyTeam);
  }

  // Driver coaching after minor incidents
  async handlePreCrashEvent(deviceId, telemetryData) {
    const coachingMessage = {
      type: 'safety_coaching',
      event: 'harsh_braking_detected',
      severity: 'warning',
      message: 'Hard braking event detected. Please maintain safe following distance.',
      coaching_tips: [
        'Increase following distance to 3-second rule',
        'Scan ahead for potential hazards',
        'Reduce speed in poor weather conditions'
      ],
      timestamp: new Date().toISOString()
    };
    
    await this.sendDriverCoaching(deviceId, coachingMessage);
  }
}

// Usage
const fleetCrashSystem = new FleetCrashDetectionSystem('your_api_key_here');

// Initialize fleet monitoring
const fleetVehicles = [
  { device_id: 'OBD_FLEET_001', vehicle_id: 'TRUCK_001', driver_id: 'DRIVER_123' },
  { device_id: 'OBD_FLEET_002', vehicle_id: 'VAN_002', driver_id: 'DRIVER_456' },
  { device_id: 'OBD_FLEET_003', vehicle_id: 'CAR_003', driver_id: 'DRIVER_789' }
];

fleetCrashSystem.monitorFleetSafety(fleetVehicles);

# Personal vehicle crash detection with family emergency response
import requests
import json
from datetime import datetime
import asyncio
import websockets

class PersonalEmergencySystem:
    def __init__(self, api_key, emergency_contacts):
        self.api_key = api_key
        self.base_url = "https://api.bookovia.com/v1"
        self.emergency_contacts = emergency_contacts
        self.device_id = None
        self.current_trip = None
        
    async def start_trip_monitoring(self, device_id, trip_id):
        """Start monitoring trip for emergency events"""
        self.device_id = device_id
        self.current_trip = trip_id
        
        # Connect to real-time telemetry stream
        uri = f"wss://api.bookovia.com/v1/streaming/telemetry/{device_id}"
        headers = {"Authorization": f"Bearer {self.api_key}"}
        
        async with websockets.connect(uri, extra_headers=headers) as websocket:
            print(f"Monitoring trip {trip_id} for emergencies...")
            
            async for message in websocket:
                telemetry_data = json.loads(message)
                await self.process_telemetry(telemetry_data)
    
    async def process_telemetry(self, data):
        """Process incoming telemetry for crash detection"""
        if data.get('type') == 'accelerometer_event':
            magnitude = data.get('magnitude', 0)
            
            # Crash detection threshold
            if magnitude >= 5.0:
                await self.handle_crash_detection(data)
            
            # Harsh event threshold (for safety coaching)
            elif magnitude >= 3.0:
                await self.handle_harsh_event(data)
    
    async def handle_crash_detection(self, telemetry_data):
        """Handle potential crash event"""
        print("⚠️ CRASH DETECTED - Initiating emergency response...")
        
        try:
            # Gather crash context
            crash_data = await self.prepare_crash_report(telemetry_data)
            
            # Report crash to Bookovia emergency system
            response = await self.report_crash(crash_data)
            
            # Handle emergency response based on severity
            if response['severity_level'] in ['high', 'critical']:
                await self.handle_severe_crash(response)
            else:
                await self.handle_minor_incident(response)
                
        except Exception as e:
            print(f"Error in crash handling: {e}")
            # Emergency fallback - direct emergency contacts
            await self.emergency_fallback(telemetry_data)
    
    async def prepare_crash_report(self, telemetry_data):
        """Prepare comprehensive crash report"""
        # Get current location
        location_data = await self.get_current_location()
        
        # Get vehicle data if available
        vehicle_data = await self.get_vehicle_data()
        
        # Get environmental conditions
        environmental_data = await self.get_environmental_data(location_data)
        
        crash_report = {
            "device_id": self.device_id,
            "trip_id": self.current_trip,
            "event_timestamp": datetime.now().isoformat() + "Z",
            "impact_data": {
                "acceleration_g_force": {
                    "x": telemetry_data['acceleration']['x'],
                    "y": telemetry_data['acceleration']['y'],
                    "z": telemetry_data['acceleration']['z']
                },
                "collision_magnitude": telemetry_data['magnitude'],
                "impact_duration_ms": telemetry_data.get('duration', 500),
                "impact_direction": self.calculate_impact_direction(telemetry_data['acceleration'])
            },
            "vehicle_data": vehicle_data,
            "location": location_data,
            "environmental_data": environmental_data
        }
        
        return crash_report
    
    async def report_crash(self, crash_data):
        """Report crash to Bookovia emergency system"""
        url = f"{self.base_url}/emergency/crash-detection"
        headers = {
            "X-API-Key": self.api_key,
            "Content-Type": "application/json"
        }
        
        response = requests.post(url, headers=headers, json=crash_data)
        
        if response.status_code in [200, 201]:
            return response.json()
        else:
            raise Exception(f"Crash report failed: {response.status_code}")
    
    async def handle_severe_crash(self, crash_response):
        """Handle severe crash with full emergency response"""
        incident_id = crash_response['incident_id']
        
        print(f"🚨 SEVERE CRASH DETECTED - Incident ID: {incident_id}")
        print(f"Emergency services dispatched - ETA: {crash_response['estimated_response_time']} minutes")
        
        # Immediately notify all emergency contacts
        await self.notify_emergency_contacts_severe(crash_response)
        
        # Enable live location sharing
        await self.enable_live_location_sharing(incident_id)
        
        # Start recording audio/video if available
        await self.start_emergency_recording(incident_id)
        
        # Send medical information to first responders
        await self.share_medical_information(incident_id)
        
        # Monitor for user response (30-second countdown)
        await self.start_emergency_countdown(crash_response)
    
    async def handle_minor_incident(self, crash_response):
        """Handle minor incident with basic response"""
        incident_id = crash_response['incident_id']
        
        print(f"⚠️ Minor incident detected - Incident ID: {incident_id}")
        
        # Send notification to primary emergency contact only
        await self.notify_primary_contact(crash_response)
        
        # Offer optional services (roadside assistance, etc.)
        await self.offer_assistance_services(crash_response)
    
    async def notify_emergency_contacts_severe(self, crash_response):
        """Notify all emergency contacts for severe crash"""
        incident_info = {
            "incident_id": crash_response['incident_id'],
            "severity": crash_response['severity_level'],
            "location": crash_response.get('location', {}),
            "hospital": crash_response.get('nearest_hospital', {}),
            "live_tracking_url": crash_response.get('live_tracking', {}).get('share_location_url'),
            "estimated_response_time": crash_response.get('estimated_response_time', 0)
        }
        
        # SMS notifications
        sms_message = f"""
EMERGENCY: Severe car crash detected for {self.emergency_contacts['primary']['name']}

Location: {incident_info['location'].get('address', 'GPS coordinates provided to emergency services')}
Severity: {incident_info['severity'].upper()}
Emergency Services ETA: {incident_info['estimated_response_time']} minutes
Hospital: {incident_info['hospital'].get('name', 'TBD')}

Live tracking: {incident_info['live_tracking_url']}
Incident ID: {incident_info['incident_id']}

Emergency services have been automatically contacted.
        """
        
        # Send to all emergency contacts
        for contact_type, contact_info in self.emergency_contacts.items():
            await self.send_sms(contact_info['phone'], sms_message)
            await self.make_emergency_call(contact_info['phone'], incident_info)
        
        print("All emergency contacts have been notified")
    
    async def start_emergency_countdown(self, crash_response):
        """30-second countdown before confirming emergency response"""
        print("\n" + "="*50)
        print("🚨 EMERGENCY COUNTDOWN STARTED")
        print("Emergency services will be confirmed in 30 seconds")
        print("If you are okay, you have 30 seconds to cancel")
        print("="*50)
        
        for i in range(30, 0, -1):
            print(f"Confirming emergency services in {i} seconds... (Press Ctrl+C to cancel)")
            await asyncio.sleep(1)
        
        # If we reach here, confirm emergency services
        await self.confirm_emergency_services(crash_response['incident_id'])
        print("🚨 Emergency services confirmed - Help is on the way!")
    
    async def confirm_emergency_services(self, incident_id):
        """Confirm emergency services dispatch"""
        url = f"{self.base_url}/emergency/incidents/{incident_id}/confirm"
        headers = {"X-API-Key": self.api_key}
        
        response = requests.post(url, headers=headers)
        
        if response.status_code == 200:
            print("Emergency services confirmed")
        else:
            print("Failed to confirm emergency services")
    
    async def enable_live_location_sharing(self, incident_id):
        """Enable live location sharing for emergency contacts"""
        print("📍 Live location sharing enabled for emergency contacts")
        
        # This would integrate with the device's location sharing capabilities
        sharing_config = {
            "incident_id": incident_id,
            "duration_hours": 4,
            "authorized_contacts": list(self.emergency_contacts.keys()),
            "update_interval_seconds": 30
        }
        
        # Enable sharing via API
        url = f"{self.base_url}/emergency/incidents/{incident_id}/location-sharing"
        headers = {"X-API-Key": self.api_key}
        
        requests.post(url, headers=headers, json=sharing_config)
    
    async def emergency_fallback(self, telemetry_data):
        """Fallback emergency procedures when API is unavailable"""
        print("🚨 API UNAVAILABLE - Using emergency fallback procedures")
        
        # Try to call emergency services directly
        emergency_number = "911"  # or regional equivalent
        print(f"Attempting to call {emergency_number}")
        
        # Send SMS to primary emergency contact
        primary_contact = self.emergency_contacts.get('primary')
        if primary_contact:
            fallback_message = f"""
EMERGENCY ALERT: Severe crash detected for vehicle {self.device_id}

This is an automated emergency message. The primary emergency system is unavailable.

Time: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
Crash magnitude: {telemetry_data.get('magnitude', 'unknown')} G-force

Please call 911 immediately and check on the driver's wellbeing.
            """
            
            await self.send_sms(primary_contact['phone'], fallback_message)
        
        print("Emergency fallback procedures completed")

# Usage
emergency_contacts = {
    "primary": {"name": "Sarah Johnson", "phone": "+1-555-123-4567", "relationship": "spouse"},
    "secondary": {"name": "Mike Johnson", "phone": "+1-555-987-6543", "relationship": "brother"},
    "medical": {"name": "Dr. Smith", "phone": "+1-555-246-8135", "relationship": "family_doctor"}
}

emergency_system = PersonalEmergencySystem("your_api_key_here", emergency_contacts)

# Start monitoring (this would typically run in background)
asyncio.run(emergency_system.start_trip_monitoring("MOBILE_USER_12345", "trip_personal_789"))

// Insurance integration with automatic claims processing
interface InsuranceClaimData {
  incident_id: string;
  policy_number: string;
  crash_details: CrashAnalysisData;
  damage_assessment: DamageAssessment;
  liability_analysis: LiabilityAnalysis;
  supporting_evidence: EvidencePackage;
}

interface DamageAssessment {
  vehicle_damage: {
    severity: 'minor' | 'moderate' | 'severe' | 'total_loss';
    estimated_repair_cost: number;
    affected_areas: string[];
    photos: string[];
  };
  personal_injury: {
    occupants_involved: number;
    injury_severity: 'none' | 'minor' | 'moderate' | 'severe' | 'fatal';
    medical_attention_required: boolean;
    hospital_transport: boolean;
  };
  property_damage: {
    third_party_vehicles: ThirdPartyVehicle[];
    infrastructure_damage: string[];
    estimated_total_damage: number;
  };
}

class InsuranceCrashProcessor {
  private apiKey: string;
  private insuranceProviders: Map<string, InsuranceProvider>;

  constructor(apiKey: string) {
    this.apiKey = apiKey;
    this.insuranceProviders = new Map();
    this.setupInsuranceProviders();
  }

  private setupInsuranceProviders(): void {
    // Configure supported insurance providers
    this.insuranceProviders.set('geico', {
      name: 'GEICO',
      claim_api: 'https://api.geico.com/claims/auto',
      auth_method: 'api_key',
      supports_automated_claims: true,
      photo_upload_enabled: true,
      real_time_updates: true
    });

    this.insuranceProviders.set('state_farm', {
      name: 'State Farm',
      claim_api: 'https://api.statefarm.com/claims',
      auth_method: 'oauth',
      supports_automated_claims: true,
      photo_upload_enabled: true,
      real_time_updates: false
    });

    this.insuranceProviders.set('progressive', {
      name: 'Progressive',
      claim_api: 'https://api.progressive.com/snapshot/claims',
      auth_method: 'bearer_token',
      supports_automated_claims: true,
      photo_upload_enabled: true,
      real_time_updates: true
    });
  }

  async processCrashForInsurance(
    crashResponse: CrashDetectionResponse,
    vehicleInsuranceInfo: VehicleInsuranceInfo
  ): Promise<InsuranceClaimResult> {
    
    try {
      // Gather comprehensive crash data
      const crashAnalysis = await this.analyzeCrashForInsurance(crashResponse);
      
      // Collect supporting evidence
      const evidence = await this.collectCrashEvidence(crashResponse.incident_id);
      
      // Assess damage and liability
      const damageAssessment = await this.assessDamageAndLiability(crashResponse, evidence);
      
      // Prepare insurance claim data
      const claimData: InsuranceClaimData = {
        incident_id: crashResponse.incident_id,
        policy_number: vehicleInsuranceInfo.policy_number,
        crash_details: crashAnalysis,
        damage_assessment: damageAssessment,
        liability_analysis: await this.analyzeLiability(crashAnalysis, evidence),
        supporting_evidence: evidence
      };
      
      // Submit claim to insurance provider
      const claimResult = await this.submitInsuranceClaim(
        vehicleInsuranceInfo.provider,
        claimData
      );
      
      // Set up real-time updates if supported
      if (this.insuranceProviders.get(vehicleInsuranceInfo.provider)?.real_time_updates) {
        await this.setupRealtimeInsuranceUpdates(claimResult.claim_id, crashResponse.incident_id);
      }
      
      return claimResult;
      
    } catch (error) {
      console.error('Insurance processing failed:', error);
      
      // Fallback: manual claim initiation
      return await this.initiateManualClaim(crashResponse, vehicleInsuranceInfo);
    }
  }

  private async analyzeCrashForInsurance(crashResponse: CrashDetectionResponse): Promise<CrashAnalysisData> {
    // Detailed analysis for insurance purposes
    return {
      impact_analysis: {
        primary_impact_point: crashResponse.crash_analysis.impact_type,
        impact_speed: crashResponse.crash_analysis.estimated_speed_at_impact,
        collision_angle: await this.calculateCollisionAngle(crashResponse.incident_id),
        deformation_pattern: crashResponse.crash_analysis.vehicle_damage_assessment
      },
      causation_factors: {
        weather_conditions: await this.getWeatherAtTime(crashResponse.incident_id),
        road_conditions: await this.getRoadConditions(crashResponse.incident_id),
        traffic_conditions: await this.getTrafficConditions(crashResponse.incident_id),
        driver_behavior: await this.analyzeDriverBehavior(crashResponse.incident_id),
        vehicle_defects: await this.checkVehicleDefects(crashResponse.incident_id)
      },
      contributing_factors: [
        'speed_analysis',
        'distraction_assessment',
        'impairment_evaluation',
        'mechanical_failure_check',
        'environmental_factors'
      ],
      fault_determination: {
        primary_fault_percentage: 0, // Will be calculated
        contributing_fault_factors: [],
        comparative_negligence: false
      }
    };
  }

  private async collectCrashEvidence(incidentId: string): Promise<EvidencePackage> {
    const evidence: EvidencePackage = {
      photos: {
        vehicle_damage: await this.requestDamagePhotos(incidentId),
        scene_photos: await this.getScenePhotos(incidentId),
        traffic_signs: await this.getTrafficControlPhotos(incidentId),
        skid_marks: await this.getSkidMarkPhotos(incidentId)
      },
      videos: {
        dashcam_footage: await this.getDashcamFootage(incidentId),
        security_cameras: await this.requestSecurityFootage(incidentId),
        witness_videos: []
      },
      documentation: {
        police_report: await this.requestPoliceReport(incidentId),
        medical_reports: await this.requestMedicalReports(incidentId),
        witness_statements: await this.collectWitnessStatements(incidentId),
        traffic_citations: await this.getTrafficCitations(incidentId)
      },
      telemetry_data: {
        pre_crash_data: await this.getPreCrashTelemetry(incidentId),
        impact_data: await this.getImpactTelemetry(incidentId),
        post_crash_data: await this.getPostCrashTelemetry(incidentId)
      },
      third_party_data: {
        other_vehicle_data: await this.getOtherVehicleData(incidentId),
        infrastructure_data: await this.getInfrastructureData(incidentId),
        environmental_data: await this.getEnvironmentalData(incidentId)
      }
    };

    return evidence;
  }

  private async submitInsuranceClaim(
    provider: string,
    claimData: InsuranceClaimData
  ): Promise<InsuranceClaimResult> {
    
    const insuranceProvider = this.insuranceProviders.get(provider);
    if (!insuranceProvider) {
      throw new Error(`Unsupported insurance provider: ${provider}`);
    }

    // Format claim data for specific provider
    const formattedClaim = await this.formatClaimForProvider(provider, claimData);
    
    // Submit to provider API
    const response = await fetch(insuranceProvider.claim_api, {
      method: 'POST',
      headers: {
        'Authorization': await this.getProviderAuth(provider),
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(formattedClaim),
    });

    if (!response.ok) {
      throw new Error(`Insurance claim submission failed: ${response.statusText}`);
    }

    const result = await response.json();
    
    return {
      claim_id: result.claim_number || result.claim_id,
      provider: provider,
      status: 'submitted',
      estimated_processing_time: result.estimated_processing_days || 7,
      adjuster_assigned: result.adjuster_assigned || false,
      adjuster_contact: result.adjuster_contact || null,
      claim_url: result.claim_tracking_url,
      next_steps: result.next_steps || this.getDefaultNextSteps(provider),
      coverage_verification: {
        collision_coverage: result.collision_covered,
        comprehensive_coverage: result.comprehensive_covered,
        liability_coverage: result.liability_covered,
        estimated_deductible: result.deductible_amount
      }
    };
  }

  // Real-time photo collection from drivers and witnesses
  async requestDamagePhotos(incidentId: string): Promise<string[]> {
    // Send photo request to driver's mobile app
    const photoRequest = {
      incident_id: incidentId,
      photo_requirements: [
        'front_damage',
        'rear_damage',
        'side_damage',
        'interior_damage',
        'vin_number',
        'license_plate',
        'overview_shots'
      ],
      instructions: [
        'Take photos from multiple angles',
        'Ensure good lighting and focus',
        'Include reference objects for scale',
        'Capture any fluid leaks or debris'
      ],
      urgency: 'immediate',
      expiration_minutes: 60
    };
    
    // This would trigger mobile app notification
    await this.sendPhotoRequest(incidentId, photoRequest);
    
    // Return placeholder - actual implementation would wait for photos
    return ['photo_url_1', 'photo_url_2'];
  }

  // Automated damage assessment using AI
  async assessDamageAndLiability(
    crashResponse: CrashDetectionResponse,
    evidence: EvidencePackage
  ): Promise<DamageAssessment> {
    
    // AI-powered damage analysis
    const damageAnalysis = await this.analyzePhotosWithAI(evidence.photos);
    
    // Cost estimation based on damage patterns
    const costEstimate = await this.estimateRepairCosts(damageAnalysis);
    
    return {
      vehicle_damage: {
        severity: this.determineDamageSeverity(damageAnalysis),
        estimated_repair_cost: costEstimate.total_cost,
        affected_areas: damageAnalysis.damaged_components,
        photos: evidence.photos.vehicle_damage
      },
      personal_injury: {
        occupants_involved: crashResponse.crash_analysis.occupant_risk_level === 'low' ? 1 : 2,
        injury_severity: this.mapRiskToInjurySeverity(crashResponse.crash_analysis.occupant_risk_level),
        medical_attention_required: crashResponse.emergency_services_notified,
        hospital_transport: crashResponse.nearest_hospital ? true : false
      },
      property_damage: {
        third_party_vehicles: await this.identifyThirdPartyVehicles(evidence),
        infrastructure_damage: await this.assessInfrastructureDamage(evidence),
        estimated_total_damage: costEstimate.total_cost + costEstimate.third_party_costs
      }
    };
  }

  // Fraud detection and prevention
  private async validateClaimAuthenticity(claimData: InsuranceClaimData): Promise<FraudAssessment> {
    const fraudChecks = {
      telemetry_consistency: this.validateTelemetryConsistency(claimData.crash_details),
      photo_authenticity: await this.validatePhotoAuthenticity(claimData.supporting_evidence.photos),
      timeline_verification: this.validateEventTimeline(claimData),
      location_verification: await this.validateLocationAccuracy(claimData.incident_id),
      behavioral_analysis: await this.analyzeSuspiciousBehavior(claimData)
    };
    
    const fraudScore = this.calculateFraudScore(fraudChecks);
    
    return {
      fraud_score: fraudScore,
      risk_level: fraudScore > 0.7 ? 'high' : fraudScore > 0.4 ? 'medium' : 'low',
      flagged_areas: Object.keys(fraudChecks).filter(check => fraudChecks[check].suspicious),
      recommended_actions: this.getFraudRecommendations(fraudScore)
    };
  }
}

// Usage
const insuranceProcessor = new InsuranceCrashProcessor('your_api_key_here');

// Process crash for insurance when crash is detected
async function handleCrashForInsurance(crashResponse: CrashDetectionResponse) {
  const vehicleInsurance = {
    provider: 'geico',
    policy_number: 'GEICO-123456789',
    coverage_limits: {
      collision: 100000,
      comprehensive: 50000,
      liability: 300000
    },
    deductible: 500
  };
  
  try {
    const claimResult = await insuranceProcessor.processCrashForInsurance(
      crashResponse,
      vehicleInsurance
    );
    
    console.log('Insurance claim submitted:', claimResult);
    console.log(`Claim ID: ${claimResult.claim_id}`);
    console.log(`Estimated processing: ${claimResult.estimated_processing_time} days`);
    
  } catch (error) {
    console.error('Insurance processing failed:', error);
  }
}