Current Delhi map preview
Pan around an OpenStreetMap-based Delhi NCR preview with modelled traffic colors and intersection pressure.
trafficlab.azonova.com
Traffic Lab
A browser-first traffic planning sandbox for Delhi NCR. Sketch interventions, run before/after comparisons, and understand trade-offs before proposing real-world road changes.
Simulation warningExpandCollapse
Traffic Lab is a planning simulation, not an official traffic model, engineering design, legal advice, environmental clearance, construction estimate or government recommendation. It does not factor in many real-world constraints such as detailed origin-destination surveys, signal controller plans, right-of-way litigation, utilities, drainage, geotechnical conditions, emergency access, contractor staging, political feasibility, full induced demand, land acquisition complexity or agency approvals.
1.0×
Scenario flow
Put a flyover where traffic is choking, then compare the relief.
This preview uses the real simulator screen. The animation highlights the path: pick a corridor, draw a flyover, split traffic onto the new link, then watch the score update.
1Search ITO Flyover
2Select flyover tool
3Draw grade-separated link
4Run comparison
The proposed flyover adds capacity over the conflict point, diverts part of the traffic stream, and reduces waiting time instead of just adding random road length.
ITO Flyover added
4 lanes · 60 km/h · 484 m
Run scenario
Improvement score +33%
Avg speed
15.7 → 24.9 km/h
Waiting time
167 → 134 min
Improvement
+33%
Scenario editing
Test new roads, flyovers, underpasses, lanes, signals, closures, bus lanes and parking controls.
Before/after calculations
Compare speed, waiting time, jammed segments, accident risk, city score and estimated project cost.
Open-data first
Uses OpenStreetMap roads, pincode demand inputs and clearly labelled model proxies where observed datasets are not imported.
Learn before trusting outputs
How the scenario calculations work
Every visible number is documented: OD demand, V/C ratio, waiting time, speed, jams, accident risk, cost, land assumptions, mode share, accessibility and city score.
Scenario mechanics
How road edits, OD demand, V/C ratio, waiting time, cost, risk, mode share and scores are calculated.
Sources
Homepage links and current status for road, map, demand, cost and collector-rate data.
Model limitations
What Traffic Lab does not factor in yet and why results should be treated as planning estimates.
Disclaimer
Read before using any simulation outputs for presentations, planning or decisions.
Use with caution
Outputs are for exploration and discussion. Validate with qualified transport planners and official datasets before action.
Legal pages
Suggestions welcome
If you have ideas, corrections, data sources or bug reports, email contact@azonova.com.