Daily Ridership
โ€”
passengers / day (adjusted)
Annual Revenue
โ€”
fare + advertising
Annual OPEX
โ€”
operating cost / year
Operating Surplus
โ€”
revenue โˆ’ OPEX
Revenue vs OPEX โ€” Scenario Comparison
City Profile
One-Way Travel Time
โ€”
minutes
Round-Trip Cycle Time
โ€”
minutes (incl. 10 min terminal dwell)
Service Headway
โ€”
minutes between trams
Active Fleet
โ€”
trams in service
Reserve Fleet
โ€”
maintenance & contingency
Total Fleet
โ€”
trams required
Peak Capacity
โ€”
passengers / hr / direction
Fleet Composition
Operations Parameters
AI-Driven Operations โ€” R&D Components
๐Ÿค–
Passenger Demand Prediction
ML-based forecasting adjusts headway dynamically based on real-time boarding data and historical demand patterns.
โšก
Collector Network Optimisation
Pantograph + overhead wire efficiency modelling vs battery storage for energy recovery at regenerative braking points.
๐Ÿ”„
Predictive Maintenance
Sensor data from rolling stock triggers proactive maintenance scheduling, reducing reserve fleet requirement over time.
Total CAPEX
โ€”
incl. fleet + contingency
30-Year NPV
โ€”
net present value
Project IRR
โ€”
internal rate of return
Payback Period
โ€”
years to break-even
CAPEX Breakdown
CAPEX Components
30-Year Cumulative Cash Flow
Revenue Model Detail
๐ŸŒฟ Coimbatore โ€” Climate-Positive Transit System
78% of tram energy sourced from Nilgiris hydroelectric network ยท Digital Twin city simulation active ยท Net-negative carbon lifecycle over 30 years
๐Ÿš—
โ€”
Cars Removed from Roads / Day
๐Ÿ›ต
โ€”
Two-Wheelers Off Road / Day
๐ŸŒ
โ€”
COโ‚‚ Reduction (tonnes / year)
โ›ฝ
โ€”
Annual Fuel Cost Savings
Sustainability Impact โ€” Scenario Comparison
Energy & Climate Profile
Renewable Energy Share โ€”%
0%FossilGridRenewable100%
Coimbatore Energy Ecosystem โ€” Nilgiris Integration
๐Ÿ’ง
78%
Nilgiris Hydroelectric Power
Kundah, Pillur & Pykara hydro stations supply clean base-load power to tram collector network
โ˜€๏ธ
14%
Rooftop Solar (TOD Nodes)
Transit-oriented development nodes generate solar power at 10 interchange stations
โšก
8%
Regenerative Braking Recovery
Kinetic energy recovery at 4 tram route terminal points feeds back to overhead wire network
Digital Twin & AI Operations
๐Ÿ”ฎ
Digital Twin Simulation
Real-time city model enables transit-oriented development planning and passenger flow simulation.
๐Ÿ“ก
Transit-Oriented Development
Mixed-use development zones within 500m of tram stops increase ridership catchment and land value uplift.
๐ŸŽ“
Social Impact
Tram network connects employment, education and healthcare corridors, reducing mobility inequality.
๐Ÿ—บ๏ธ Coimbatore City โ€” 4 Tram Route Network (75 km total)
Interactive route map ยท Click a route to highlight ยท European-style tram corridors serving 350,000+ passengers daily
Route 1 โ€” South Corridor (Ukkadam โ†” Airport)
Route 2 โ€” IT Corridor (Airport โ†” Neelambur)
Route 3 โ€” West Corridor (Thondamuthur โ†” Madukkarai)
Route 4 โ€” East Corridor (Railway Station โ†” Vellalore)
Route Summary
Key Interchange Stations