Because one driver showed up at Lakhanpur Toll with ₹47 in their FASTag — and a ₹185 toll. Boom stays down for 90 seconds while they pay manually. The queue behind them lasts 3 minutes.
Driver of JK 01 AB 1234 reaches Lakhanpur. Balance too low. Boom stays down.
Cash, change, receipt. The driver delays themselves and everyone behind them.
Each car behind brakes harder than the one in front. The queue compounds upstream.
The backwave propagates upstream long after the trigger clears the booth.
25 vehicles × 90 sec wait, per incident. Multiply by 1,200+ plazas.
Idling vehicles burn ~0.6 L/h. At ~₹2.4 cr/day across India.
Per incident. 2.31 kg CO₂ per litre of petrol — at scale, tonnes per day.
Ambulances stuck behind FASTag declines. Life-critical seconds lost.
Each car behind must brake harder and accelerate slower than the one ahead. A 12-second stop at the booth pushes a 3-minute slowdown upstream at ~20 km/h backwards.
We model this with the Nagel-Schreckenberg cellular automaton — accelerate, brake, randomize, move. The simulator is live on screen.
App detects you're approaching a plaza with a balance lower than the toll fee. Alert fires before you even see the booth.
One button → Google Pay / PhonePe / Paytm → balance topped up in under 8 seconds. You never stop, the boom never closes.
Works with HDFC, ICICI, SBI, Paytm FASTags via a single unified API. We sit on top — we don't replace FASTag.
Tell us what's wrong with the model and the UX. We listen better than we ship.
Someone who's built fintech in India, talked to NHAI, or shipped a UPI integration.
One plaza on NH-44 to validate the geofence flow with real drivers and real UPI.