AI Traffic Coordination Platform

Smarter cities.
Smoother mobility.

An AI-driven traffic coordination platform that continuously optimizes signal networks across Indian cities to reduce congestion, delays and operational inefficiencies in real time.

1.2k+
Signalized junctions connected
4 ms
Model inference latency
32%
Average delay reduction
BUILT FOR INDIA

Engineering Intelligent Traffic Infrastructure
for a Self-Reliant Nation

We are building indigenous AI-driven traffic coordination systems engineered specifically for India's mixed, non-lane-based traffic realities. Our platform integrates multi-layer data fusion—metro schedules, mobility patterns, curb activity, and probe feeds—to enable predictive corridor synchronization that anticipates congestion before it forms.

By combining infrastructure intelligence with behavior-aware modeling, we deliver reduced delay, faster emergency response, and data-driven governance for coordinated urban mobility. Our systems diagnose structural bottlenecks, orchestrate curb resources, and maintain optimized corridor flow across entire networks.

Designed in India. Built for India's traffic realities.

CURRENT SYSTEM LIMITATIONS

Why Traditional Traffic Systems
Struggle in Modern Cities

Data-Limited or Single-Source Reliance

Most systems depend only on loops or cameras without multi-source intelligence.

Assumes Orderly, Lane-Disciplined Traffic

Models perform poorly in mixed, chaotic, non-lane-based conditions.

Limited Behavior and Curb Modeling

No understanding of illegal parking, pickup spillover, or human non-compliance.

Poor Inter-Modal Integration

No integration of metro discharge, ride-hailing demand, or first-mile impact.

WHY WE ARE DIFFERENT

From Reactive Signals to
Predictive Urban Intelligence

Traditional traffic systems respond to congestion after it happens. Our AI anticipates, coordinates, and orchestrates traffic flow before bottlenecks form—transforming cities into intelligent networks.

Intent-Aware Traffic Control

Intent-Aware Traffic Control

Intent-Aware Traffic Control

Our AI doesn't just react to traffic—it anticipates movement patterns before vehicles even start moving.

Predict before vehicles move
10–20 minute early congestion prediction
Multi-Layer Data Fusion

Multi-Layer Data Fusion

Multi-Layer Data Fusion

Seamlessly integrates metro schedules, ride-share patterns, curb activity, and real-time probe data into one predictive model.

Metro + Ride + Curb + Probe
Higher prediction accuracy
Curb & Pickup Orchestration

Curb & Pickup Orchestration

Curb & Pickup Orchestration

Treats the curb as a live, dynamic resource, coordinating pickups and drop-offs to maintain traffic flow continuity.

Curb as a live resource
Prevents green-wave breaks
Structural Choke-Point AI

Structural Choke-Point AI

Structural Choke-Point AI

Goes beyond optimization to diagnose underlying infrastructure flaws that create bottlenecks and capacity constraints.

Diagnoses infrastructure flaws
Identifies 20–30% capacity loss areas
Human-in-the-Loop Control

Human-in-the-Loop Control

Human-in-the-Loop Control

Combines AI intelligence with operator expertise, ensuring every decision is validated and deployments remain safe and accountable.

AI + Operator collaboration
Safer deployments
Corridor-Level Green Wave Intelligence

Corridor-Level Green Wave Intelligence

Corridor-Level Green Wave Intelligence

Synchronizes signals across entire corridors, not just individual intersections, creating seamless green waves that reduce stops.

Coordinated, not isolated
Reduced average delay
Live Road Network Visualization

City Road Intelligence

Real OpenStreetMap road data rendered in 3D. Click a city or marker to explore its traffic network.

Loading 3D engine…

road segments

Road Type

Motorway / Trunk
Primary
Secondary
Click markers to explore cities

Pune

Live Traffic Data

Junctions

312

Delay Reduction

31%

Incidents

7

Avg Speed

28 km/h

Network Breakdown

Motorway / Trunk15%
Primary Roads28%
Secondary Roads57%

AI Signal Sync

Real-time optimization active

Optimizing 312 signals…

Quick Jump

Smart Commute — Pune demo

Interactive planner and road network demo (FEATURE-2)

Feature 3 · WhatsApp Integration

Commute planning, on WhatsApp

Users simply message Tram.AI — get live traffic, metro navigation, event alerts and a full travel itinerary.

How it works

💬

Instant Query

Text any destination or event. No app installs, just standard WhatsApp.

🤖

Contextual AI

Groq Llama 3 models instantly process live traffic, weather, and venue events.

Rapid Analysis

Mappls API computes the fastest multi-modal routes in under 2 seconds.

🗺️

Smart Itinerary

Actionable travel advice, road vs metro comparisons, and direct navigation links.

🤖

Tram.AI WhatsApp Bot

Starting...
Today • 05:21 AM
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Proactive Alerts

Tram.AI on WhatsApp

Proactive traffic alerts · Pune

🚦
🚨 Heavy Traffic

FC Road → Shivajinagar

Congestion: 84/100 · Mappls live · Avoid cab — 40 min delay

Now
1 of 5 alerts

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Groq AIMappls APINominatimTwilioLlama 3.3Pune Metro
Venue Traffic Intelligence

Analyze venue traffic

Enter a venue name to get event context, traffic prediction, weather and live traffic.

National traffic data layer

City-scale traffic intelligence

Unified analytics and performance monitoring across major urban corridors and signal networks.