Cursor for City Planning
Transform collision data into actionable, buildable intersection designs in minutes.

Features • Demo • Tech Stack • Getting Started

Every year, 1.35 million people die in road traffic accidents globally. In Toronto alone, there are 50,000+ reported collisions annually. The data exists: but it's trapped in spreadsheets, buried in bureaucracy, and disconnected from the planning decisions that could prevent deaths.

1. Data Gap: Collision data is abstract and scattered with no visual context
2. Analysis Gap: Safety audits take months and cost thousands of dollars
3. Communication Gap: Planners can't easily show stakeholders why changes matter

Cision is an AI-powered urban planning platform that transforms raw collision data into interactive 3D visualizations, instant safety audits, and stakeholder-validated redesigns: all in minutes, not months.

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│  Collision Data │────▶│  3D Heatmap     │────▶│  AI Safety      │────▶│  AI Redesign    │
│  (Toronto Open  │     │  Visualization  │     │  Audit          │     │  Generator      │
│   Data)         │     │                 │     │  (6 metrics)    │     │                 │
└─────────────────┘     └─────────────────┘     └─────────────────┘     └─────────────────┘
                                                                   │
                                                                   ▼
                                                           ┌─────────────────┐
                                                           │  Voice Agent    │
                                                           │  Stakeholders   │
                                                           │  (Cyclist, Mayor,│
                                                           │   Engineer)     │
                                                           └─────────────────┘

• 3D MapGL visualization with clustered hotspots
• Color-coded by severity (green → red)
• Filter by collision type: fatalities, cyclist-involved, pedestrian-involved

Instant safety audits with:

• 6 safety metrics (0-100 scale): Signage, Lighting, Crosswalk Visibility, Bike Infrastructure, Pedestrian Infrastructure, Traffic Calming
• 4-direction Street View composite
• Identified safety flaws with severity levels
• Improvement suggestions with priority, cost estimates, and expected impact

• Natural language image generation for intersection transformations
• Version history carousel to compare designs
• Iterative refinement workflow

Three AI stakeholders (powered by ElevenLabs) provide instant feedback:

• Amogh Merudi: DoorDash Courier & Collision Survivor
• Olivia Chow: Mayor of Toronto
• Marcus Chen: Traffic Engineer, P.Eng.

• Search by intersection name or address with Google Places autocomplete
• Keyboard navigation and recent search history

• Date range analysis and victim breakdown
• Normalized severity scoring vs. city-wide data

Watch our 3-minute demo:

• Next.js 16 (App Router, React 19)
• TypeScript
• React Map GL / Mapbox (3D mapping)
• Tailwind CSS + Framer Motion
• Zustand (state management)
• Vercel AI SDK

• Next.js API Routes (serverless)
• MongoDB (collision data storage)
• Google Gemini (safety audit & image generation)
• ElevenLabs (voice agents)
• Google Places API (autocomplete + place details)

• Nano Banana Pro (image generation for redesigns)
• OpenAI Vision (Street View analysis)
• Custom clustering algorithm (collision hotspot detection)

• Vercel (deployment)
• Mapbox (maps)
• GitHub Actions (CI/CD)

cision/
├── app/
│   ├── api/                # API routes (chat, clusters, safety-audit, etc.)
│   ├── map/                # Main app page
│   └── page.tsx            # Landing page
├── components/
│   ├── map/                # Map components
│   ├── search/             # Search components
│   ├── sidebar/            # Sidebar components (intersection, persona, audit, chat)
│   └── ui/                 # Shared UI components
├── lib/                    # Utilities (clustering, prompts, etc.)
├── stores/                 # State management (Zustand)
└── types/                  # TypeScript type definitions

• Node.js 18+
• npm / yarn / bun
• Mapbox API token
• Google Gemini API key
• ElevenLabs API key
• Google Places API key (optional)

# Clone the repository
git clone <repository-url>
cd cision

# Install dependencies
npm install

# Set up environment variables
# Create .env.local with:
NEXT_PUBLIC_MAPBOX_TOKEN=your_mapbox_token
GOOGLE_GEMINI_API=your_gemini_key
ELEVENLABS_API_KEY=your_elevenlabs_key
NEXT_PUBLIC_GOOGLE_PLACES_API_KEY=your_google_places_key

# Run development server
npm run dev

• Toronto Open Data Portal for collision data
• Mapbox for mapping tools
• ElevenLabs for voice synthesis
• Google Gemini for AI capabilities
• DeltaHacks 2026 for the opportunity to build this

Built with ❤️ for safer cities