Route
Jagannath University
Kuril / Kuratoli (AIUB)
📏 Select locations
Ride Type
Rickshaw
Bike
Car
Bus
CNG
⚠️ Rickshaws aren't ideal for trips over 6 km. Consider Bike or CNG.
Weather
Sunny
Regular
Rainy
Stormy
Trip Type
Regular
Normal ride
Busy Hour
Peak traffic
Emergency
Need urgently
Pickup Time
⚠️ Could not calculate. Please check your selection.
Estimated Fare
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Range: — – — ৳
Normal
🚗 Uber-Style Fare Breakdown
Estimated Total
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🤖 ML Fare Model — Linear Regression
📏Distance fare
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⏱️Traffic time
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🌤Weather impact
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🕐Rush hour add
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📊Trip type add
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🧠 ML Model Estimate
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Model accuracy (R²)
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Linear regression · trained in-browser
📊 Fare Comparison — All Ride Types
Comparison uses your selected route, weather & trip type. 🏆 outlined bar = cheapest option.
Fare Policy — Verify Every Taka
Formula: price = (distance part + time part) × surge + trip-type add, never below the minimum fare, surge never above 2.0×.
Rates: Bike 30+12/km+0.5/min (min 30) · Car 40+18/km+3/min (min 80) · CNG 40+14/km+1/min (min 60) · Bus 2.6/km (min 10) · Rickshaw 20+22/km (min 20).
Adjustments: rush ×1.20 · night ×1.10 · Friday ×0.95 · Regular ×1.05 · Rainy ×1.20 · Stormy ×1.40 (bus: weather capped, no rush/night/Friday surge, no trip-type add).
Speeds: 22 km/h normal · 12 rush · 25 night. Distance: map distance ×1.25 road factor.
Aligned with Uber published rates (Moto 30/12/0.5 · UberX 40/18/3) and BRTA bus/CNG tariffs. Same formula runs here, on the server (GET /rates), and in model training — the breakdown shown always sums to the price.
Rates: Bike 30+12/km+0.5/min (min 30) · Car 40+18/km+3/min (min 80) · CNG 40+14/km+1/min (min 60) · Bus 2.6/km (min 10) · Rickshaw 20+22/km (min 20).
Adjustments: rush ×1.20 · night ×1.10 · Friday ×0.95 · Regular ×1.05 · Rainy ×1.20 · Stormy ×1.40 (bus: weather capped, no rush/night/Friday surge, no trip-type add).
Speeds: 22 km/h normal · 12 rush · 25 night. Distance: map distance ×1.25 road factor.
Aligned with Uber published rates (Moto 30/12/0.5 · UberX 40/18/3) and BRTA bus/CNG tariffs. Same formula runs here, on the server (GET /rates), and in model training — the breakdown shown always sums to the price.