TrafficMaestro Agent

Proactive traffic management system that predicts congestion by correlating internal traffic patterns with external real-world events.

Overview

The TrafficMaestro acts as a "conductor" orchestrating traffic flow optimization before problems occur, by:

• Monitoring external events (concerts, sports, festivals)
• Predicting congestion based on event attendance
• Comparing with external traffic APIs (Mapbox, Google, TomTom)
• Generating preemptive action plans

graph TD
    A[TrafficMaestro Agent] --> B[Event Monitoring]
    A --> C[Traffic Analysis]
    A --> D[External Benchmarking]
    
    B --> B1[Ticketmaster]
    B --> B2[Eventbrite]
    B --> B3[Facebook Events]
    B --> B4[Local Calendars]
    
    C --> C1[Historical Patterns]
    C --> C2[Venue Analysis]
    C --> C3[Attendance Estimation]
    
    D --> D1[Mapbox Directions]
    D --> D2[Google Maps]
    D --> D3[TomTom Traffic]
    
    B1 --> E[Event Database]
    B2 --> E
    B3 --> E
    B4 --> E
    
    C1 --> F[Congestion Predictor]
    C2 --> F
    C3 --> F
    E --> F
    
    D1 --> G[Route Comparator]
    D2 --> G
    D3 --> G
    
    F --> H[Impact Assessment]
    G --> H
    
    H --> I[Action Plans]
    H --> J[Timeline Visualization]
    H --> K[Notifications]

Core Capabilities

1. External Event Monitoring

• Ticketmaster API: Concerts, sports events, theater shows
• Google Calendar API: Public holidays, school events
• Eventbrite API: Conferences, festivals, community gatherings
• Facebook Events Graph API: Social gatherings
• Custom HCMC sources: Local event calendars

2. Predictive Congestion Analysis

• Event attendance estimation (venue capacity, ticket sales)
• Historical pattern matching (similar past events)
• Time-to-venue calculations with expected arrival curves
• Multi-route impact assessment
• Confidence scoring for predictions

3. External Traffic Benchmarking

• Mapbox Directions API: Real-time route alternatives
• Google Maps Directions API: Traffic layer comparison
• TomTom Traffic API: Incident detection
• Route duration forecasting

4. Preemptive Action Plans

• Green wave optimization (adaptive signal timing)
• Detour recommendations with capacity analysis
• Public transit scaling suggestions
• Parking guidance systems
• Citizen push notifications

5. Timeline Visualization

• Event timeline generation (before, during, after)
• Impact heatmaps with severity coloring
• Road segment congestion predictions
• Resource allocation recommendations

API

predictEventImpact

Predict traffic impact for an upcoming event.

interface EventImpactRequest {
    eventId?: string;
    eventName: string;
    venueName: string;
    venueLocation: { lat: number; lon: number };
    eventDate: string;  // ISO 8601
    expectedAttendees: number;
    eventType: 'concert' | 'sports' | 'conference' | 'festival' | 'other';
    horizonHours: number;  // Hours before/after to analyze
}

interface EventImpactResponse {
    eventDetails: {
        name: string;
        venue: string;
        date: string;
        expectedAttendees: number;
    };
    impactPrediction: {
        severity: 'low' | 'moderate' | 'high' | 'severe';
        confidence: number;
        peakCongestionTime: string;
        affectedArea: { lat: number; lon: number; radius: number };
    };
    affectedRoads: {
        roadName: string;
        expectedDelay: number;  // minutes
        alternativeRoute: string;
        capacityUtilization: number;  // percentage
    }[];
    timeline: {
        phase: 'pre-event' | 'arrival' | 'during' | 'departure' | 'post-event';
        startTime: string;
        endTime: string;
        congestionLevel: number;  // 0-100
        recommendations: string[];
    }[];
    actionPlan: {
        action: string;
        priority: 'high' | 'medium' | 'low';
        targetTime: string;
        responsibleParty: string;
    }[];
    externalComparison: {
        mapbox: { duration: number; distance: number };
        google: { duration: number; distance: number };
        tomtom: { duration: number; distance: number };
    };
}

const prediction = await maestro.predictEventImpact(request);

getUpcomingEvents

Fetch upcoming events that may impact traffic.

interface EventQuery {
    location: { lat: number; lon: number };
    radiusKm: number;
    startDate: string;
    endDate: string;
    minAttendees?: number;
}

const events = await maestro.getUpcomingEvents(query);

compareRoutes

Compare route options using multiple traffic providers.

interface RouteComparisonRequest {
    origin: { lat: number; lon: number };
    destination: { lat: number; lon: number };
    departureTime: string;
}

const comparison = await maestro.compareRoutes(request);

Event Impact Severity

Severity	Attendees	Expected Delay	Affected Radius
Low	< 1,000	< 5 min	500m
Moderate	1,000-5,000	5-15 min	1km
High	5,000-20,000	15-30 min	2km
Severe	> 20,000	> 30 min	5km+

Configuration

Located at config/agents/traffic-maestro.yaml:

agent:
  name: TrafficMaestro
  version: 3.0.0
  description: Predictive Event Orchestrator

events:
  sources:
    - ticketmaster
    - eventbrite
    - facebook
    - local_calendar
  lookAheadDays: 7
  minAttendees: 500

traffic:
  providers:
    - mapbox
    - google_maps
    - tomtom
  comparisonEnabled: true

prediction:
  historicalDays: 90
  confidenceThreshold: 0.6
  updateInterval: 3600  # seconds

Dependencies

• axios@^1.6: HTTP client for external APIs
• js-yaml@^4.1: Configuration file parsing
• StellioService: NGSI-LD entity access

Usage Example

import { TrafficMaestroAgent } from './agents/TrafficMaestroAgent';

const maestro = new TrafficMaestroAgent();

// Predict impact of upcoming concert
const prediction = await maestro.predictEventImpact({
    eventName: 'Taylor Swift Concert',
    venueName: 'Phu Tho Stadium',
    venueLocation: { lat: 10.7628, lon: 106.6615 },
    eventDate: '2025-12-05T20:00:00Z',
    expectedAttendees: 25000,
    eventType: 'concert',
    horizonHours: 6
});

console.log('Impact Severity:', prediction.impactPrediction.severity);
// "severe"

console.log('Peak Time:', prediction.impactPrediction.peakCongestionTime);
// "2025-12-05T18:30:00Z"

console.log('Affected Roads:', prediction.affectedRoads.map(r => r.roadName));
// ["Ly Thuong Kiet", "3/2 Street", "Nguyen Thi Minh Khai"]

console.log('Action Plan:', prediction.actionPlan);
// [{ action: "Activate green wave on Ly Thuong Kiet", priority: "high" },
//  { action: "Deploy traffic officers at key intersections", priority: "high" },
//  { action: "Push notification to commuters", priority: "medium" }]

See Also

• EcoTwin Agent
• GraphInvestigator Agent
• Analytics Routes
• Pattern Routes