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CASE STUDY 02

Low-Emission Transit Optimization

AI-driven routing algorithms reducing urban carbon footprint and optimizing public transit.

Low-Emission Transit Optimization

Overview & Impact

Our team developed an intelligent routing system tailored for electric bus fleets. By analyzing topography, real-time traffic, passenger load, and battery charging cycles, the platform dynamically optimizes routes to prevent congestion and lower grid load. This has modernized the transit network into an efficient, eco-friendly powerhouse.

Sustainable TransportCarbon Reduction

Key Metrics

27%
Fleet Carbon Cut
94%
On-Time Efficiency
14.5M
Kg CO2 Offset/Yr

Project Details

Client:Municipal Transit Authority
Location:Greater Transit District
Duration:18 Months